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Course Duration

32 Hrs.

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2 Project

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Data Analytics & BI

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  • Statistical Analytics System, also known as SAS is a comprehensive analytics course that is designed to provide you with all the necessary SAS skills and abilities and multiple statistical techniques to become a successful SAS professional. This SAS online training in India includes a series of interactive exercises in this course to make learning even better. This training also includes certified SAS courses such as SAS certified BASE programmer, and SAS certified advanced programmer, SAS admin training, etc.
  • This SAS online training will enable you to cater business skills and business analytics skills which will help you to gain enough proficiency in reading spreadsheets, and identifying and removing errors. Furthermore, you will learn other technical skills such as data analytics, data modeling techniques, predictive analysis, etc. The SAS online certification course will provide you with a greater opportunity to work with multinational companies such as Amazon, Wipro, etc.
  • All of these skills can become handy as you will be able to acquire every information through various case studies, real-time projects, assignments, etc.

SAS Online Training

About-Us-Course

  • The primary aim of SAS online training course is to help the individual learn Predictive Analysis through SAS, learn using SAS GUI and data manipulation in detail.
    • Practice advanced SAS programming which includes SAS Macro Machine learning, SQL Procedures, decision trees, statistical techniques, etc.

      In addition, the SAS online certification training will make the students ready to become a SAS programmer and gain universally applicable credentials.

      As a SAS certifier, you will learn how to automate and execute both complex and repetitive tasks with the help of Macros and validate ODS statements using SAS.

      This SAS online course in India will allow you to acquire in-depth knowledge of integrating and refining datasets, performing conditional or iterative looping and simplifying SAS programming, using SAS arrays, etc.

      You would learn how to implement SQL queries, SAS graphs, dataset deployments, overview reports, functions, operators, and more.

  • More than half of the industries hold a viewpoint that data analytics is an essential skill in decision making but they analyze only about 12% and that too sheds into the paper. Therefore, there is an urgent need for qualified SAS programmers so that they can take good care of the data in a precise manner. Moreover, companies are willing to pay a satisfying amount to those who are professional in their work and are honest about their work.
  • After completing your SAS training course in Noida, you are dubious about the salary that you will get. Isnt it Well, to clarify your doubts, the amount that you will get is around $102K per annum. It can increase more if you are a certified professional. The salary figures for various other professionals at the experienced level are:
    • SAS Developer- $2,66,988

      Lead SAS Programmer- $5,49,024

      Senior Software Engineer- $1,00,008

  • Hence, be ready to build the foundation of your career with the greatest leading SAS Training Institute in India and make yourself worthy of carrying such a big amount of salary packages.

  • The SAS online training course delivers the job oriented certification programs under the guidance of expert trainers. For years, the SAS training institute in India has been the dominant player as it provides a variety of statistical functions for those who can easily master them. The experts in this online training institute make you understand everything in a concentrated way.
    • Through proper citations, you will understand the SAS software and application as today, there is a desperate need for trained SAS experts everywhere.

      Moreover, there are attractive salary packages even at the fresher level as you will excel well in this field you will be paid more.

      There are different SAS certification Training courses in the market and you would be trained in all at this online training placement.

  • At this SAS IT Training Company in India, you can prepare yourself to achieve your career goals and build your reputation in the industry.

  • SAS is a strong business analytics tool that significantly improves the overall business efficiency. At this SAS online training in India, you will obtain the right skills to work with spreadsheets, databases, and debugging a huge volume of data. In addition, you can apply to leading industries and earn a good income with this online course.
  • This Noida based company is known for creating powerful analytical tools that are used by corporations to make key decisions into their business insights. The company was founded in 1976 and now has become a pioneer in the field of business analytics. It also helps businesses to manage their information well and transform the analyzed data into useful information.
  • SAS includes a user-friendly GUI that can be learned by anybody no matter if he is a student or a fresher or even a non-IT person. You will be provided with all the basic to advanced level skills at this SAS placement course online that would give a new shape to your career.
  • Being a renowned SAS online training in India, the institute provides world-class training to each student where he not only learns things in a theoretical manner but also determines how to implement them at the workplace.

  • In the SAS course, there are numerous work profiles such as SAS BASE programmer, advanced SAS programmer, SAS admin, etc. Lets look at a few different job profiles and duties that can be learned in the SAS online training in India.
    • You must know about predictive analytics, SAS GUI, and manipulation of data in detail.

      You need to have a good understanding of advanced programming in SAS that includes SAS Macro Machine learning, SQL procedures, decision trees, statistical techniques, etc.

      You should know how to simplify complex and repetitive tasks and execute ODS statements using SAS.

      You should also know how to integrate and optimize datasets, perform conditional and iterative loops, simplify SAS programming with SAS arrays, etc.

      You also need to know how to run SQL queries, SAS maps, overview reports, data set deployment, logical statements, etc.

  • Big Multinational Companies such as Microsoft, Walmart, IBM, Facebook, Oracle, and more are looking forward to hiring SAS professionals. The SAS online training provides you with the best skills that you can apply when you face challenges at the workplace. With the acquired skills you will be able to apply for different job roles and also obtain practical experience.
  • Presently, the implementation of SAS can be incorporated through various industrial channels like banks, telecommunication, healthcare, IT, entertainment, and more. So, it is best to register today with the SAS online training in India to give a new boost to your career.

  • The SAS certification course is developed in a way to assist the students to pass both the BASE certification exam and the advanced certification exam for programmers. The students can also learn the SAS admin domain training under the SAS online training in India.
  • You will be rewarded with a course completion certificate at the end of the training program and upon achieving good marks in the SAS certification course. The training certificate is greatly accepted at leading MNCs such as IBM, Infosys, Sony, TCS, etc.

Why should you learn SAS?

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SAS Certification Training Programs

SAS Certification TrainingPrograms

BI And Visualization
Data Analytics Certification Training
30k LearnersWeekend/WeekdayLive Class
  • 5 Live Project
  • Self-Paced/ Classroom
  • Certification Pass Guaranteed

  • Understanding Concepts of Excel
    • Creation of Excel Sheet Data

      Range Name, Format Painter

      Conditional Formatting, Wrap Text, Merge & Centre

      Sort, Filter, Advance Filter

      Different type of Chart Creations

      Auditing, (Trace Precedents, Trace Dependents)Print Area

      Data Validations, Consolidate, Subtotal

      What if Analysis (Data Table, Goal Seek, Scenario)

      Solver, Freeze Panes

      Various Simple Functions in Excel(Sum, Average, Max, Min)

      Real Life Assignment work

  • Ms Excel Advance
    • Advance Data Sorting

      Multi-level sorting

      Restoring data to original order after performing sorting

      Sort by icons

      Sort by colours

      Lookup Functions

      • Lookup
        • VLookup
          • HLookup

            Subtotal, Multi-Level Subtotal

            Grouping Features

            • Column Wise
              • Row Wise

                Consolidation With Several Worksheets

                Filter

                • Auto Filter
                  • Advance Filter

                    Printing of Raw & Column Heading on Each Page

                    Workbook Protection and Worksheet Protection

                    Specified Range Protection in Worksheet

                    Excel Data Analysis

                    • Goal Seek
                      • Scenario Manager

                        Data Table

                        • Advance use of Data Tables in Excel
                          • Reporting and Information Representation

                            Pivot Table

                            • Pivot Chat
                              • Slicer with Pivot Table & Chart

                                Generating MIS Report In Excel

                                • Advance Functions of Excel
                                  • Math & Trig Functions

                                    Text Functions

                                    Lookup & Reference Function

                                    Logical Functions & Date and Time Functions

                                    Database Functions

                                    Statistical Functions

                                    Financial Functions

                                    Functions for Calculation Depreciation

                                Get full course syllabus in your inbox

                                • SQL Server Fundamentals
                                  • SQL Server 2019 Installation

                                    Service Accounts & Use, Authentication Modes & Usage, Instance Congurations

                                    SQL Server Features & Purpose

                                    Using Management Studio (SSMS)

                                    Conguration Tools & SQLCMD

                                    Conventions & Collation

                                • SQL Server 2019 Database Design
                                  • SQL Database Architecture

                                    Database Creation using GUI

                                    Database Creation using T-SQL scripts

                                    DB Design using Files and File Groups

                                    File locations and Size parameters

                                    Database Structure modications

                                • SQL Tables in MS SQL Server
                                  • SQL Server Database Tables

                                    Table creation using T-SQL Scripts

                                    Naming Conventions for Columns

                                    Single Row and Multi-Row Inserts

                                    Table Aliases

                                    Column Aliases & Usage

                                    Table creation using Schemas

                                    Basic INSERT

                                    UPDATE

                                    DELETE

                                    SELECT queries and Schemas

                                    Use of WHERE, IN and BETWEEN

                                    Variants of SELECT statement

                                    ORDER BY

                                    GROUPING

                                    HAVING

                                    ROWCOUNT and CUBE Functions

                                • Data Validation and Constraints
                                  • Table creation using Constraints

                                    NULL and IDENTITY properties

                                    UNIQUE KEY Constraint and NOT NULL

                                    PRIMARY KEY Constraint & Usage

                                    CHECK and DEFAULT Constraints

                                    Naming Composite Primary Keys

                                    Disabling Constraints & Other Options

                                • Views and Row Data Security
                                  • Benets of Views in SQL Database

                                    Views on Tables and Views

                                    SCHEMA BINDING and ENCRYPTION

                                    Issues with Views and ALTER TABLE

                                    Common System Views and Metadata

                                    Common Dynamic Management views

                                    Working with JOINS inside views

                                • Indexes and Query tuning
                                  • Need for Indexes & Usage

                                    Indexing Table & View Columns

                                    Index SCAN and SEEK

                                    INCLUDED Indexes & Usage

                                    Materializing Views (storage level)

                                    Composite Indexed Columns & Keys

                                    Indexes and Table Constraints

                                    Primary Keys & Non-Clustered Indexes

                                • Stored Procedures and Benets
                                  • Why to use Stored Procedures

                                    Types of Stored Procedures

                                    Use of Variables and parameters

                                    SCHEMABINDING and ENCRYPTION

                                    INPUT and OUTPUT parameters

                                    System level Stored Procedures

                                    Dynamic SQL and parameterization

                                • System functions and Usage
                                  • Scalar Valued Functions

                                    Types of Table Valued Functions

                                    SCHEMABINDING and ENCRYPTION

                                    System Functions and usage

                                    Date Functions

                                    Time Functions

                                    String and Operational Functions

                                    ROW_COUNT

                                    GROUPING Functions

                                • Triggers, cursors, memory limitations
                                  • Why to use Triggers

                                    DML Triggers and Performance impact

                                    INSERTED and DELETED memory tables

                                    Data Audit operations & Sampling

                                    Database Triggers and Server Triggers

                                    Bulk Operations with Triggers

                                • Cursors and Memory Limitations
                                  • Cursor declaration and Life cycle

                                    STATIC

                                    DYNAMIC

                                    SCROLL Cursors

                                    FORWARD_ONLY and LOCAL Cursors

                                    KEYSET Cursors with Complex SPs

                                • Transactions Management
                                  • ACID Properties and Scope

                                    EXPLICIT Transaction types

                                    IMPLICIT Transactions and options

                                    AUTOCOMMIT Transaction and usage

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                                • Introduction to Power BI
                                  • Overview of BI concepts

                                    Why we need BI

                                    Introduction to SSBI

                                    SSBI Tools

                                    Why Power BI

                                    What is Power BI

                                    Building Blocks of Power BI

                                    Getting started with Power BI Desktop

                                    Get Power BI Tools

                                    Introduction to Tools and Terminology

                                    Dashboard in Minutes

                                    Interacting with your Dashboards

                                    Sharing Dashboards and Reports

                                • Power BI Desktop
                                  • Power BI Desktop

                                    Extracting data from various sources

                                    Workspaces in Power BI

                                • Power BI Data Transformation
                                  • Data Transformation

                                    Query Editor

                                    Connecting Power BI Desktop to our Data Sources

                                    Editing Rows

                                    Understanding Append Queries

                                    Editing Columns

                                    Replacing Values

                                    Formatting Data

                                    Pivoting and Unpivoting Columns

                                    Splitting Columns

                                    Creating a New Group for our Queries

                                    Introducing the Star Schema

                                    Duplicating and Referencing Queries

                                    Creating the Dimension Tables

                                    Entering Data Manually

                                    Merging Queries

                                    Finishing the Dimension Table

                                    Introducing the another DimensionTable

                                    Creating an Index Column

                                    Duplicating Columns and Extracting Information

                                    Creating Conditional Columns

                                    Creating the FACT Table

                                    Performing Basic Mathematical Operations

                                    Improving Performance and Loading Data into the Data Model

                                • Modelling with Power BI
                                  • Introduction to Modelling

                                    Modelling Data

                                    Manage Data Relationship

                                    Optimize Data Models

                                    Cardinality and Cross Filtering

                                    Default Summarization & Sort by

                                    Creating Calculated Columns

                                    Creating Measures & Quick Measures

                                • Data Analysis Expressions (DAX)
                                  • What is DAX

                                    Data Types in DAX

                                    Calculation Types

                                    Syntax, Functions, Context Options

                                    DAX Functions

                                    • Date and Time
                                      • Time Intelligence
                                        • Information
                                          • Logical
                                            • Mathematical
                                              • Statistical
                                                • Text and Aggregate

                                                  Measures in DAX

                                                  Measures and Calculated Columns

                                                  ROW Context and Filter Context in DAX

                                                  Operators in DAX - Real-time Usage

                                                  Quick Measures in DAX - Auto validations

                                                  In-Memory Processing DAX Performance

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                                              • Introduction To Python
                                                • Installation and Working with Python

                                                  Understanding Python variables

                                                  Python basic Operators

                                                  Understanding the Python blocks.

                                              • Python Keyword and Identiers
                                                • Python Comments, Multiline Comments.

                                                  Python Indentation

                                                  Understating the concepts of Operators

                                                  • Arithmetic
                                                    • Relational
                                                      • Logical
                                                        • Assignment
                                                          • Membership
                                                            • Identity
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                                                          BI And Visualization
                                                          SPSS Certification Training
                                                          30k LearnersWeekend/WeekdayLive Class
                                                          • 2 Live Project
                                                          • Self-Paced/ Classroom
                                                          • Certification Pass Guaranteed

                                                          • Our Social Science Statistics Certificate provides the skills necessary to gather, analyze, and assess data for activities like making policy decisions, answering cultural questions, studying behavioral changes, and informing business decisions. This ten course program – including six required courses and four electives – cover the principal statistical concepts used to design, sample, collect, interpret, and present data as it applies to behaviors of groups of people in their environment and special situations.
                                                          • In this program you will learn:
                                                            • Introduction to SPSS

                                                              Input and Data Cleaning

                                                              Data Import [Excel File]

                                                              Data Import [Text Data / CSV Data]

                                                              Scales

                                                              Data Manipulation

                                                              Visualisation in SPSS

                                                              Descriptive analysis of data

                                                              What is Significance

                                                              Statistical Tests

                                                              Correlation

                                                              Regression

                                                              Sampling

                                                              Tables

                                                              Multivariate Analysis [Factor Analysis]

                                                              Multivariate Analysis [Cluster Analysis]

                                                          Get full course syllabus in your inbox

                                                          • Introduction to SPSS:
                                                            • Data Analysis with SPSS: General Aspects, Workflow, Critical Issues

                                                              SPSS: General Description, Functions, Menus, Commands

                                                              SPSS File Management

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                                                          • Input and Data Cleaning:
                                                            • Defining Variables

                                                              Manual Input of Data

                                                              Automated Input of Data and File Import

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                                                          • Data Import [Excel File]:
                                                            • Excel Data : Initial Preparation

                                                              Check Cell Range of Data

                                                              Give Variable Names

                                                              Store basic Checks Max Min Mean

                                                              Import into SPSS

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                                                          • Data Import [Text Data / CSV Data]:
                                                            • In Notepad or Text Pad

                                                              Check Total No of Rows

                                                              How many Rows Per Case

                                                              How Many Variables

                                                              Import Text File

                                                          Get full course syllabus in your inbox
                                                          BI And Visualization
                                                          SAS Base Certification Training
                                                          30k LearnersWeekend/WeekdayLive Class
                                                          • 2 Live Project
                                                          • Self-Paced/ Classroom
                                                          • Certification Pass Guaranteed

                                                          • This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses You will also learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data.
                                                          • SAS Certification Training is intended to make you an expert in SAS programming and Analytics. You will be able to analyse and write SAS code for real problems, learn to use SAS to work with datasets, perform advanced statistical techniques to obtain optimized results with BASE SAS programming.
                                                          • In this program you will learn :
                                                            • SAS Programming Essentials

                                                              SAS Programming - Data Manipulation Techniques

                                                          Get full course syllabus in your inbox

                                                          • Introduction
                                                            • The SAS programming process.

                                                              Submitting a SAS program

                                                              Using SAS programming tools.

                                                              Understanding SAS syntax.

                                                              Diagnosing and correcting syntax errors

                                                              Mastering fundamental concepts

                                                          • Accessing Data
                                                            • Understanding SAS data.

                                                              Accessing data through libraries.

                                                              Importing data into SAS.

                                                          • Exploring and Validating Data
                                                            • Exploring data.

                                                              Filtering rows.

                                                              Formatting columns.

                                                              Sorting data and removing duplicates.

                                                          • Preparing Data
                                                            • Reading and filtering data.

                                                              Computing new columns.

                                                              Conditional processing.

                                                          • Analyzing and Reporting on Data
                                                            • Enhancing reports with titles, footnotes, and labels.

                                                              Creating frequency reports.

                                                              Creating summary statistics reports.

                                                          • Exporting Results
                                                            • Exporting data.

                                                              Exporting reports.

                                                          • Using SQL in SAS
                                                            • Using Structured Query Language in SAS.

                                                              Joining tables using SQL in SAS.

                                                          Get full course syllabus in your inbox

                                                          • Controlling DATA Step Processing
                                                            • setting up for this course

                                                              understanding DATA step processing

                                                              directing DATA step output

                                                          • Summarizing Data
                                                            • creating an accumulating column

                                                              processing data in groups

                                                          • Manipulating Data with Functions
                                                            • understanding SAS functions and CALL routines

                                                              using numeric and date functions

                                                              using character functions

                                                              using special functions to convert column type

                                                          • Creating Custom Formats
                                                            • creating and using custom formats

                                                              creating custom formats from tables

                                                          • Combining Tables
                                                            • concatenating tables

                                                              merging tables

                                                              identifying matching and nonmatching rows

                                                          • Processing Repetitive Code
                                                            • using iterative DO loops

                                                              using conditional DO loops

                                                          • Restructuring Tables
                                                            • restructuring data with the DATA step

                                                              restructuring data with the TRANSPOSE procedure

                                                          Get full course syllabus in your inbox

                                                          • Placement Guide
                                                            • What is an Interview

                                                              Tips to clear an Interview

                                                              Common Interview questions and answers

                                                              SAS Interview Questions and Answers

                                                              Resume Building Guide

                                                              Career roadmap and certifications

                                                              Attempt for related Global Certification Exam

                                                              Start applying for Jobs

                                                          Get full course syllabus in your inbox
                                                          BI And Visualization
                                                          SAS Adv Certification Training
                                                          30k LearnersWeekend/WeekdayLive Class
                                                          • 2 Live Project
                                                          • Self-Paced/ Classroom
                                                          • Certification Pass Guaranteed

                                                          • This course is for SAS programmers who want to learn advanced techniques within the DATA step and procedures. Further, the course focuses on using the SAS macro facility to design, write, and debug macro programs, with an emphasis on understanding how programs that contain macro code are processed.
                                                          • You will Perform text substitution in SAS code, learn to use macro variables and macro functions, automate and customize the production of SAS code, conditionally or iteratively construct SAS code, write self-modifying, data-driven programs. Moving ahead, you will also learn how to process SAS data using Structured Query Language (SQL).
                                                          • In this program you will learn:
                                                            • SAS Programming Advanced Techniques

                                                              SAS Macro Language Essentials

                                                              SAS SQL Essentials

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                                                          • Getting Started
                                                            • Setting up for this course.

                                                              DATA step review.

                                                          • Using Advanced Functions
                                                            • Using a variety of advanced functions.

                                                              Performing pattern matching with Perl regular expressions.

                                                          • Defining and Processing Arrays
                                                            • Defining and referencing one-dimensional arrays.

                                                              Doing more with one-dimensional arrays.

                                                              Defining and referencing two-dimensional arrays.

                                                          • Defining and Processing Hash Objects
                                                            • Declaring hash objects.

                                                              Defining hash objects.

                                                              Finding key values in a hash object.

                                                              Writing a hash object to a table.

                                                              Using hash iterator objects.

                                                          • Using Utility Procedures
                                                            • Creating picture formats with the FORMAT procedure.

                                                              Creating functions with the FCMP procedure.

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                                                          • Introduction
                                                            • Why SAS macro

                                                              Setting up for this course.

                                                          • SAS Macro Facility
                                                            • Program flow.

                                                              Creating and using macro variables.

                                                          • Storing and Processing Text
                                                            • Macro functions.

                                                              Using SQL to create macro variables.

                                                              Using the DATA step to create macro variables.

                                                              Indirect references to macro variables.

                                                          • Working with Macro Programs
                                                            • Defining and calling a macro.

                                                              Macro variable scope.

                                                              Conditional processing.

                                                              Iterative processing.

                                                          • Developing Macro Applications
                                                            • Storing macros.

                                                              Generating data-dependent code.

                                                              Validating parameters and documenting macros.

                                                          Get full course syllabus in your inbox

                                                          • Essentials
                                                            • Setting up for this course.

                                                              Overview of SAS Foundation.

                                                              Course logistics.

                                                              Course data files.

                                                              Introducing the Structured Query Language.

                                                              Overview of the SQL procedure.

                                                              Exploring tables.

                                                              Specifying columns.

                                                          • PROC SQL Fundamentals
                                                            • Sub-setting data.

                                                              Presenting data.

                                                              Summarizing data.

                                                              Creating and managing tables.

                                                              Using DICTIONARY tables.

                                                          • SQL Joins
                                                            • Introduction to SQL joins.

                                                              Inner joins.

                                                              Outer joins.

                                                              Complex SQL joins.

                                                          • Subqueries
                                                            • Noncorrelated subqueries.

                                                              Correlated subqueries.

                                                              In-line views.

                                                              Creating views with the SQL procedure.

                                                              Subqueries in the SELECT clause.

                                                              Remerging summary statistics.

                                                          • Set Operators
                                                            • Introduction to set operators.

                                                              The INTERSECT operator.

                                                              The EXCEPT operator.

                                                              The UNION operator.

                                                              The OUTER UNION operator.

                                                          • Using and Creating Macro Variables in SQL
                                                            • Interfacing PROC SQL with the macro language.

                                                              Creating data-driven macro variables with a query.

                                                              Using macro variables in SQL.

                                                          • Accessing DBMS Data with SAS/ACCESS
                                                            • Overview of SAS/ACCESS technology.

                                                              SQL pass-through facility.

                                                              SAS/ACCESS LIBNAME statement.

                                                              PROC Fed SQL.

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                                                          • Placement Guide
                                                            • What is an Interview

                                                              Tips to clear an Interview

                                                              Common Interview questions and answers

                                                              SAS Advanced Interview Questions and Answers

                                                              Resume Building Guide

                                                              Career roadmap and certifications

                                                              Attempt for related Global Certification Exam

                                                              Start applying for Jobs

                                                          Get full course syllabus in your inbox
                                                          BI And Visualization
                                                          Microsoft Power BI Training
                                                          30k LearnersWeekend/WeekdayLive Class
                                                          • 2 Live Project
                                                          • Self-Paced/ Classroom
                                                          • Certification Pass Guaranteed

                                                          • Power BI stands tall for users with its significant features like minimal license cost, easy to use operations and high-end product performance. Industry insights specify significant growth in Power BIusers and thus provides a greater number of jobs to the next generations. Microsoft being one among top software providers, with a vision to make this power BI to lead the business intelligence sector started updating with new features to attract more clients in the market.
                                                          • In this program you will learn :
                                                            • Introduction to Power BI

                                                              Power BI Desktop

                                                              Modelling with Power BI

                                                              Data Analysis Expressions (DAX)

                                                              Modelling with Power BI

                                                              Power BI Desktop Visualisations

                                                              Introduction to Power BI Q&A and Data Insights

                                                              Direct Connectivity

                                                              BI and Azure ML Integrating Power

                                                              Publishing and Sharing

                                                              Refreshing Datasets

                                                          Get full course syllabus in your inbox

                                                          • Introduction to Power BI:
                                                            • Overview of BI concepts

                                                              Why we need BI

                                                              Introduction to SSBI

                                                              SSBI Tools

                                                              Why Power BI

                                                              What is Power BI

                                                              Building Blocks of Power BI

                                                              Getting started with Power BI Desktop

                                                              Get Power BI Tools

                                                              Introduction to Tools and Terminology

                                                              Dashboard in Minutes

                                                              Refreshing Power BI Service Data

                                                              Interacting with your Dashboards

                                                              Sharing Dashboards and Reports

                                                          Get full course syllabus in your inbox

                                                          • Power BI Desktop:
                                                            • Power BI Desktop

                                                              Extracting data from various sources

                                                              Workspaces in Power BI

                                                              Data Transformation

                                                              Measures and Calculated Columns

                                                              Query Editor

                                                          Get full course syllabus in your inbox

                                                          • Modelling with Power BI:
                                                            • Introduction to Modelling

                                                              Modelling Data

                                                              Manage Data Relationship

                                                              Optimize Data Models

                                                              Cardinality and Cross Filtering

                                                              Default Summarization & Sort by

                                                              Creating Calculated Columns

                                                              Creating Measures & Quick Measures

                                                          Get full course syllabus in your inbox

                                                          • Data Analysis Expressions (DAX):
                                                            • What is DAX

                                                              Data Types in DAX

                                                              Calculation Types

                                                              Syntax, Functions, Context Options

                                                              DAX Functions

                                                              Date and Time

                                                              Time Intelligence

                                                              Information

                                                              Logical

                                                              Mathematical

                                                              Statistical

                                                              Text and Aggregate

                                                              • Measures in DAX
                                                                • ROW Context and Filter Context in DAX
                                                                  • Operators in DAX -Real-time Usage
                                                                    • Quick Measures in DAX -Auto validations
                                                                      • PowerPivot xVelocity & Vertipaq Store
                                                                        • In-Memory Processing: DAX Performance
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                                                                      BI And Visualization
                                                                      Tableau Certification Training
                                                                      30k LearnersWeekend/WeekdayLive Class
                                                                      • 2 Live Project
                                                                      • Self-Paced/ Classroom
                                                                      • Certification Pass Guaranteed

                                                                      • Data Visualization
                                                                      • Business Intelligence tools
                                                                      • Introduction to Tableau
                                                                      • Tableau Architecture
                                                                      • Tableau Server Architecture
                                                                      • VizQL Fundamentals
                                                                      • Introduction to Tableau Prep
                                                                      • Tableau Prep Builder User Interface
                                                                      • Data Preparation techniques using Tableau Prep Builder tool
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                                                                      • Features of Tableau Desktop
                                                                      • Connect to data from File and Database
                                                                      • Types of Connections
                                                                      • Joins and Unions
                                                                      • Data Blending
                                                                      • Tableau Desktop User Interface
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                                                                      • Visual Analytics
                                                                      • Basic Charts Bar Chart, Line Chart, and Pie Chart
                                                                      • Hierarchies
                                                                      • Data Granularity
                                                                      • Highlighting
                                                                      • Sorting
                                                                      • Filtering
                                                                      • Grouping
                                                                      • Sets
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                                                                      • Types of Calculations
                                                                      • Built-in Functions (Number, String, Date, Logical and Aggregate)
                                                                      • Operators and Syntax Conventions
                                                                      • Table Calculations
                                                                      • Level of Detail (LOD) Calculations
                                                                      • Using R within Tableau for Calculations
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                                                                      • Parameters
                                                                      • Tool tips
                                                                      • Trend lines
                                                                      • Reference lines
                                                                      • Forecasting
                                                                      • Clustering
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                                                                      BI And Visualization
                                                                      R Programming Training
                                                                      30k LearnersWeekend/WeekdayLive Class
                                                                      • 1 Live Project
                                                                      • Self-Paced/ Classroom
                                                                      • Certification Pass Guaranteed

                                                                      • This course is suggested for all those novices and specialists who are keen on working in the analytics industry. R is suitable for all IT professionals like Big data analytics, Business analytics, scientific research, statistical reporting, Econometrics, social science, business intelligence, and business development. Researchers who perform data analysis with higher dimensional graphs. Students who need R for their courses. Prerequisite It is not necessary to have any prior knowledge of R. R is now well thought out to be not just the most popular open-source analytic tool but the most popular analytics tool in the world
                                                                      • In this program you will learn:
                                                                        • Overview :

                                                                          R Programming Basics.

                                                                          Variable types and data structures in base R.

                                                                          Getting data into the R environment.

                                                                          Data frame manipulation.

                                                                          Handling dates in R.

                                                                          Exploratory Data Analysis (Descriptive Statistics).

                                                                          Working with text data.

                                                                          Control flow & functions.

                                                                          Graphics in R Overview.

                                                                          Advanced R graphics.

                                                                          Inferential Statistics.

                                                                          General Linear Regression Models in R.

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                                                                      • Overview:
                                                                        • History of R

                                                                          Advantages and disadvantages

                                                                          Downloading and installing

                                                                          How to find documentation

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                                                                      • R Programming Basics:
                                                                        • Using the R console and R Studio

                                                                          Getting help

                                                                          Learning about the environment

                                                                          Writing and executing scripts

                                                                          Object oriented programming

                                                                          Introduction to vectorised calculations

                                                                          Introduction to data frames

                                                                          Installing and loading packages

                                                                          Working directory

                                                                          Saving your work

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                                                                      • Variable types and data structures in base R:
                                                                        • Variables and assignment

                                                                          Data types

                                                                          Numeric, character, Boolean, and factors

                                                                          Data structures

                                                                          Vectors, matrices, arrays, data frames, lists

                                                                          Indexing, sub-setting

                                                                          Assigning new values

                                                                          Viewing data and summaries

                                                                          Naming conventions

                                                                          Objects

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                                                                      • Getting data into the R environment:
                                                                        • Built-in data

                                                                          Reading data from structured text files

                                                                          Reading data using ODBC

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                                                                      BI And Visualization
                                                                      Microsoft Advance Excel Certification Training
                                                                      30k LearnersWeekend/WeekdayLive Class
                                                                      • 2 Live Project
                                                                      • Self-Paced/ Classroom
                                                                      • Certification Pass Guaranteed

                                                                      • Basic Understanding Menu and Toolbar
                                                                      • Introduction to different category of functions
                                                                      • Creation of Excel Sheet Data
                                                                      • Range Name, Format Painter
                                                                      • Conditional Formatting, Wrap Text, Merge & Centre
                                                                      • Sort, Filter, Advance Filter
                                                                      • Different type of Chart Creations
                                                                      • Auditing, (Trace Precedents, Trace Dependents) Print Area
                                                                      • Data Validations, Consolidate, Subtotal
                                                                      • What if Analysis (Data Table, Goal Seek, Scenario)
                                                                      • Solver, Freeze Panes
                                                                      • Various Simple Functions in Excel (Sum, Average, Max, Min)
                                                                      • Real Life Assignment work
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                                                                      • Manage workbook
                                                                        • Save a workbook as a template,

                                                                          copy macros between workbooks,

                                                                          reference data in another workbook,

                                                                          reference data by using structured references,

                                                                          enable macros in a workbook,

                                                                          display hidden ribbon tabs

                                                                      • Manage workbook review
                                                                        • Restrict editing,

                                                                          protect a worksheet

                                                                          configure formula calculation options

                                                                          protect workbook structure

                                                                          manage workbook versions

                                                                          encrypt a workbook with a password

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                                                                      • Apply custom data formats and validation
                                                                        • Create custom number formats

                                                                          populate cells by using advanced Fill Series options

                                                                          configure data validation

                                                                      • Apply advanced conditional formatting and filtering
                                                                        • Create custom conditional formatting rules

                                                                          create conditional formatting rules that use formulas

                                                                          manage conditional formatting rules

                                                                      • Create and modify custom workbook elements
                                                                        • Create custom color formats,

                                                                          create and modify cell styles,

                                                                          create and modify custom themes,

                                                                          create and modify simple macros

                                                                          insert and configure form controls

                                                                      • Prepare a workbook for internationalization
                                                                        • Display data in multiple international formats

                                                                          apply international currency formats,

                                                                          manage multiple options for Body and Heading fonts

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                                                                      • Apply functions in formulas
                                                                        • Perform logical operations by using AND, OR, and NOT functions;

                                                                          perform logical operations by using nested functions

                                                                          perform statistical operations by using SUMIFS, AVERAGEIFS, COUNTIFS

                                                                          functions

                                                                      • Look up data by using functions
                                                                        • Look up data by using the VLOOKUP function,

                                                                          look up data by using the HLOOKUP function,

                                                                          look up data by using the MATCH function,

                                                                          look up data by using the INDEX function

                                                                      • Apply advanced date and time functions
                                                                        • Reference the date and time by using the NOW and TODAY functions,

                                                                          serialize numbers by using date and time functions

                                                                      • Perform data analysis and business intelligence
                                                                        • Reference the date and time by using the NOW and TODAY functions

                                                                          import, transform, combine, display, and connect to data

                                                                          consolidate data

                                                                          perform what-if analysis by using Goal Seek and Scenario Manager

                                                                          use cube functions to get data out of the Excel data model

                                                                          calculate data by using financial functions

                                                                      • Troubleshoot formulas
                                                                        • Trace precedence and dependence

                                                                          monitor cells and formulas by using the Watch Window

                                                                          validate formulas by using error checking rules,

                                                                          Evaluate formulas

                                                                      • Define named ranges and objects
                                                                        • Name cells,

                                                                          name data ranges,

                                                                          name tables,

                                                                          manage named ranges and objects

                                                                      • Module 5: Create Advanced Charts and Tables
                                                                      • Create advanced charts
                                                                        • Add trendlines to charts,

                                                                          create dual-axis charts,

                                                                          save a chart as a template

                                                                      • Create and manage PivotTables
                                                                        • Create PivotTables,

                                                                          modify field selections and options,

                                                                          create slicers,

                                                                          group PivotTable data,

                                                                          reference data in a PivotTable by using the GETPIVOTDATA function,

                                                                          add calculated fields,

                                                                          format data

                                                                      • Create and manage PivotCharts
                                                                        • Create PivotCharts,

                                                                          manipulate options in existing PivotCharts,

                                                                          apply styles to PivotCharts,

                                                                          drill down into PivotChart details

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                                                                      • Dashboard Background
                                                                      • Dashboard Elements
                                                                      • Interactive Dashboards
                                                                      • Type of Reporting in India
                                                                      • Reporting Analyst
                                                                      • Indian Print Media Reporting
                                                                      • Audit Report
                                                                      • Accounting MIS Reports
                                                                      • HR MIS Reports
                                                                      • MIS Report Preparation Supplier, Exporter
                                                                      • Data Analysis
                                                                      • Costing Budgeting Mis Reporting
                                                                      • MIS Reporting for Manufacturing Company
                                                                      • MIS Reporting for Store and Billing
                                                                      • Product Performance Report
                                                                      • Member Performance Report
                                                                      • Customer-Wise Sales Report
                                                                      • Collections Report
                                                                      • Channel Stock Report
                                                                      • Prospect Analysis Report
                                                                      • Calling Reports
                                                                      • Expenses Report
                                                                      • Stock Controller MIS Reporting
                                                                      • Inventory Statement
                                                                      • Payroll Report
                                                                      • Salary Slip
                                                                      • Loan Assumption Sheet
                                                                      • Invoice Creation
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                                                                      BI And Visualization
                                                                      Microsoft Excel VBA Certification Training
                                                                      30k LearnersWeekend/WeekdayLive Class
                                                                      • 2 Live Project
                                                                      • Self-Paced/ Classroom
                                                                      • Certification Pass Guaranteed

                                                                      • It is estimated that the job opportunities for VBA programmers are set to grow exponentially given the current demand and estimated growth in the number of companies seeking out such individuals. With the VBA (Visual Basic for Applications) training by Croma Campus, learn how to create macros to automate functions and generate graphs and reports.
                                                                      • In this program you will learn:
                                                                        • VBA Basics.

                                                                          Control Structures: Logical Expressions.

                                                                          Control Structures: Loops.

                                                                          Sub-Procedure and Functions.

                                                                          Debugging.

                                                                          Handling Text files, Pictures and charts.

                                                                          VBA forms.

                                                                          Database Connectivity:

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                                                                      • What is VBA:
                                                                        • Overview

                                                                          The History of VBA

                                                                          Why VBA

                                                                          VBA Summary

                                                                      • Available Data Types and Usage
                                                                      • Micro Structure & Basic Macro
                                                                        • Active sheet, Active cell, offset, sheet add, rename, etc.

                                                                      • Options Base and Explicit
                                                                      • Arrays
                                                                        • Static & Dynamic

                                                                          Array functions

                                                                      • Macro with Excel
                                                                      • Basic Macro with daily use
                                                                        • Filter, cut, copy, paste, remove duplication, etc.

                                                                      • Macro with File
                                                                        • File system basics

                                                                          Understanding file permissions

                                                                          Setting file permissions

                                                                          Accessing files

                                                                          Writing to files

                                                                          Deleting files

                                                                          Reading files

                                                                          Examining file details

                                                                          Working with directories

                                                                          Viewing directory content

                                                                      • Form and Activity X Control
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                                                                      • Control Structures: Logical Expressions:
                                                                        • If statements

                                                                          Else and elseif statements

                                                                          Logical operators

                                                                          And. OR, Not. Go to Statements

                                                                          Switch statements

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                                                                      • Control Structures: Loops:
                                                                        • While loops

                                                                          For loops

                                                                          For each loops

                                                                          do while

                                                                          do until

                                                                          Continue

                                                                          Break

                                                                          Understanding array pointers

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                                                                      • Sub-Procedure and Functions:
                                                                        • Subroutine

                                                                          Passing value to sub- procedure

                                                                          Message box

                                                                          VBA Inbuilt functions

                                                                          Passing values in functions

                                                                          Workbook and worksheet functions

                                                                          Keywords

                                                                          Difference between sub-routines and functions

                                                                          Creating own functions in VBA for Excel

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                                                                      HR & Payroll
                                                                      Business Analyst Certification Training
                                                                      40k LearnersWeekend/WeekdayLive Class
                                                                      • 2 Live Project
                                                                      • Self-Paced/ Classroom
                                                                      • Certification Pass Guaranteed

                                                                      • Software Development Life Cycle
                                                                      • Software Development Methodologies Water Fall, Iterative, Agile, etc.
                                                                      • Types of Software Projects Greenfield, Migration, Product Customization, Maintenance etc.
                                                                      • IT Implementation
                                                                      • IT Deployment Environments SAAS, On Premise, Client Server etc.
                                                                      • Software Licensing, Subscription and Sale Models
                                                                      • Project Development Vs Product Development
                                                                      • RUP, DevOps Methodologies
                                                                      • Cloud Service and Deployment Models - Public, Private, Hybrid, Community, IAAS, PAAS,
                                                                      • SAAS
                                                                      Get full course syllabus in your inbox

                                                                      • Activities of an IT Business Analyst
                                                                      • Analysis, Business Analysis, IT Business Analysis defined
                                                                      • Objectives of Business Analysis
                                                                      • Who is an IT Business Analyst
                                                                      • Business Analysis Levels or Views - Process, Project, Enterprise and Industry
                                                                      • Business Analysis Framework and Techniques
                                                                      • IT Business Analysis Software
                                                                      • IT Business Analyst Skills
                                                                      • IT Business Analyst Career Path and Salaries
                                                                      • Meet some real Business Analysts
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                                                                      • What is a Business Process
                                                                      • Critical Analysis of a Business Process
                                                                      • Business Process Analysis Sparx System Framework
                                                                      • Business Process Mapping & Flow charting
                                                                      • As Is To Be Analysis for a Business Process
                                                                      • Business Process Mapping and Modelling Frameworks
                                                                      • Business Process Mapping and Modelling Software
                                                                      • Business Process Re-Engineering & Re-Design
                                                                      • Business Process Automation, Disinter mediation and Re-intermediation
                                                                      • Business Process Simulation
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                                                                      • What is a Requirement
                                                                      • Attributes of Requirements
                                                                      • Importance of Requirements for IT Projects
                                                                      • Types of Requirements: Business, Enterprise, Solution, Stakeholder, Transition
                                                                      • Overview of Requirements Engineering and Management
                                                                      • Requirements Basics: Mapping, Modelling, Traceability Matrix, Tracking
                                                                      • Business Process Re-Engineering & Re-Design
                                                                      • Important Requirement Process Steps: Elicitation, Analysis, Documentation, Validation, Management
                                                                      • Requirement Software Companies - JIRA, Rational Requisite Pro
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                                                                      • Stakeholder Definition
                                                                      • Importance of Stakeholder
                                                                      • Stakeholder Identification Onion Diagram
                                                                      • Stakeholder Identification Wheel
                                                                      • Stakeholder Classification Power Influence Matrix
                                                                      • Stakeholder Engagement Techniques Power/Influence Vs Interest
                                                                      • Stakeholder RACI Chart, its preparation through Visio
                                                                      • Stake Holder Persona
                                                                      • Stakeholder Alignment and Sponsorship
                                                                      • Managing Internal stakeholders
                                                                      • Preparing Stakeholder map through Excel
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                                                                      Need Customized curriculum?

                                                                      Mock Interviews

                                                                      Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.How Croma Campus Placement Process Works?
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                                                                      FAQ's

                                                                      The main reason to choose The SAS Online Course in India from the Croma Campus is so that you can grow your skills under the guidance of the corporate trainers that help you too gain the essential skills and knowledge to meet the demands of the organization with perfect solutions.

                                                                      The SAS Online Course in India from Croma Campus will help you to learn from the practical and theoretical formats and will also help you to learn from the real time-based projects that will upgrade your profile needed by the fortune organizations.

                                                                      The SAS Certification Course can be done with Croma campus offering various ways to learn. You can choose any service from:

                                                                      • Instructor Training
                                                                      • Online Training
                                                                      • Corporate Training
                                                                      • Self-paced Training
                                                                      • 1 on 1 Training

                                                                      It takes around 5 to 6 months to learn the course from the SAS Online Training in India. Also, it depends upon the learner. On an average this time is perfect to learn the course.

                                                                      To start learning SAS Online Training Course you can contact to: Email: Info@cromacampus.com Contact no.: +91-9711526942 / +91-120-4155255

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                                                                      Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.

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