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  • The SAS Training institute in Noida has been structured to provide all the required SAS skills and multiple statistical techniques to help you to become a successful SAS professional. These statistical techniques are further used to perform basic and advanced programming in SAS. The course includes a series of interactive exercises to make the learning more effective for you. Some of the popular SAS certification training courses available with us include SAS certified BASE programmer, and SAS certified advanced programmer, SAS Admin training, etc.
  • The SAS training institute in Noida will help you to learn business analytics skills and BI skills too. Once you will complete the training, you will gain enough proficiency in reading spreadsheets, databases, and how to debug errors. Some other skills include data analytics, data modelling techniques, data mining data visualization, predictive analysis, etc. Also, you will get a chance to practice SAS analytics skills through real-time projects, assignments, case studies, etc.
  • Moving ahead, you may practice advanced analytics concepts too using SAS language. Some of the examples are SAS Macros Machine learning, SQL Procedures, decision trees, and statistical techniques, etc. We make sure that you would be able to clear your certification exam in the first attempt mostly. So, register for the SAS certification course in Noida today with the best SAS training institute in Noida before it is too late.

SAS Training in Noida

About-Us-Course

  • The major objective of SAS training in Noida is to help you learn predictive analytics using SAS, learning using SAS GUI, and data manipulation in detail.
    • Learn advanced programming in SAS that includes SAS Macros Machine learning, SQL Procedures, decision trees, and statistical techniques, etc.

      Also, the SAS certification course in Noida will prepare you for the SAS programmer certifications and gain credentials that are valid worldwide.

      Learn to automate complex and repeated tasks with the help of Macros and execute ODS statements using SAS.

      The SAS placement course will help you to gain in-depth knowledge in integrating and refining datasets, perform conditional or iterative looping, simplify SAS programming using SAS arrays, etc.

      Learn to implement SQL queries, SAS graphs, summary reports, deploying data sets, logical statement, functions, operators, and more.

  • More than 70 percent of industries believe that data analytics is an important skill in decision-making but they are able to analyze 12% data only and most of them goes wasted. So, there is an urgent need for skilled SAS programmers who could take care of data deeply and companies are ready to pay really HUGE to skilled professional who can complete their work efficiently.
  • You must be wondering how much you can earn after the SAS training institute in Noida. Well, it is around $102K per annum and even higher if you are a certified professional. For SAS Developer - 2,66,988, Lead SAS Programmer - 5,49,024, and Senior Software Engineer - 10,00,008 at the experienced level. so, get ready to build your skills base with the most prominent SAS training institute in Noida and make yourself eligible to BAG such attractive salary packages right away.

  • We deliver job-oriented SAS training institute in Noida with the help of industry practitioners. SAS has been the market leader for years and it offers an array of statistical functions for people who can learn it quickly. We will help you to learn everything in a focused way. You will learn from the beginning till the end step-by-step.
    • We will help you to understand SAS applications through real-world example. Today, there is a dire need of skilled SAS experts everywhere.

      Also, salaries are really attractive at the fresher level and as you grow higher in your career.

      There are various SAS certification courses available in the market and we offer training in all. We make sure that you would be clear these exams in the first attempt mostly.

  • With the top institute of SAS training in Noida, you not only become an SAS expert but make yourself ready to achieve your career goals in the industry.

  • SAS is a powerful business analytics tool and it helps to improve the overall business performance immensely. With the SAS training in Noida, you will gain all the right skills to work with spreadsheets, databases, and techniques to debug voluminous data. Moreover, SAS certification course will help you to apply for leading industries and claim for good salaries too. If you know SQL fundamentals then it can be an advantage for you.
  • SAS is the company known for developing powerful analytics solutions used by enterprises to gain valuable insights into their data. The company was established in 1976 and today it has become leader in business analytics space. It helps businesses to manage their data well and transform the analyzed data into meaningful content further.
  • SAS offers a user-friendly GUI that can be used by anyone either he is a fresh graduate or a non-IT person. SAS is a programming language that helps to convert data into meaningful information that is really valuable for organizations. With the SAS training institute in Noida, you will get all the basic and advanced skills to give new heights to your career like never before.
  • Being a popular SAS training in Noida, we offer world-class training to students where they dont just focus to learn things but implement them at the workplace. So, our SAS online training program include practical sessions for learners to make them an established programmer in SAS.

  • There are different job profiles in SAS like SAS BASE programmer, SAS advanced programmer, SAS admin, etc. Let us see a few common job roles and responsibilities that are common for each of them and you will learn through SAS training in Noida.
    • You should know about predictive analytics skills, SAS GUI, and data manipulation in detail.

      You must have a sound idea of advanced programming in SAS that includes SAS Macros Machine learning, SQL Procedures, decision trees, and statistical techniques, etc.

      You must know how to automate complex and repeated tasks with the help of Macros and execute ODS statements using SAS.

      You should know about integrating and refining datasets, perform conditional or iterative looping, simplify SAS programming using SAS arrays, etc.

      You must know how to implement SQL queries, SAS graphs, summary reports, deploying data sets, logical statement, functions, operators, and more.

  • With the eminent SAS training in Noida, we prepare you to manage all these job roles and responsibilities in SAS with utmost confidence and grace.

  • Microsoft, Walmart, IBM, Facebook, Oracle, and more. These are few industries actively looking to hire SAS professionals worldwide.
  • With SAS training in Noida, you not only master the essential skills but know about challenges that you have to face at the workplace. You will become eligible to apply for different job roles and gain hands-on expertise in using SAS tools and Statistical techniques.
  • Today, SAS implementation can be realized across different industrial vectors that includes banks, telecoms, healthcare, IT sector, entertainment industry, and more. So, register with the top SAS training in Noida today and enhance your career graph like a superstar right away.

  • Our SAS certification courses has been especially designed to help you clear SAS BASE certification exam and SAS advanced programmer certification exam. We offer comprehensive training in SAS admin domain too.
  • As the part of SAS training in Noida, you will work on different real-time projects, assignments, and gain immense expertise in real-world case studies. in brief, we help you to fast-track your career growth effortlessly.
  • In the end of course from SAS training institute in Noida, you will be awarded with a course completion training certificate and upon scoring good marks in project work. Our training certificate is well recognized in top MNCs like Cisco, IBM, Infosys, Sony, TCS, Genpact, etc.

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SAS Training Program

SAS Training Program

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

  • Introduction
    • What is Data Analytic

      Common Terms in Data Analytics

      What is data

      Classication of data

      Relevance in industry and need of the hour

      Types of problems and business objectives in various industries

      How leading companies are harnessing the power of analytics

      Critical success drivers.

      Overview of Data Analytics tools & their popularity.

      Data Analytics Methodology & problem-solving framework.

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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

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  • Introduction to Statistics
    • Categorical Data

      Numerical Data

      Mean

      Median

      Mode

      Outliers

      Range

      Interquartile range

      Correlation

      Standard Deviation

      Variance

      Box plot

  • Understanding Statistics
    • Descriptive Statistics

      Sample vs Population Statistics

      Random variables

      Probability distribution functions

      Expected value

      Normal distribution

      Gaussian distribution

      Z-score

      Spread and Dispersion

      Correlation and Co-variance

  • Data Pre-Processing & Data Mining
    • Data Preparation

      Feature Engineering

      Feature Scaling

      Datasets

      Dimensionality Reduction

      Anomaly Detection

      Parameter Estimation

      Data and Knowledge

      Selected Applications in Data Mining

  • EDA (Exploratory Data Analysis)
    • Need for structured exploratory data

      EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)

      Identify missing data

      Identify outliers data

      Imbalanced Data Techniques

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  • Data Analysis and Visualization using Pandas.
    • Statistics

      Pandas

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  • 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

  • AI Integration in SQL:
    • AI Tools:

      Copilot in Azure Data Studio or GitHub for SQL suggestions

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BI And Visualization
SPSS Training Program
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]

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  • 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

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BI And Visualization
SAS Base Training Program
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

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  • 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.

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  • 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

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  • 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

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BI And Visualization
SAS Adv Training Program
30k LearnersWeekend/WeekdayLive Class
  • 2 Live Project
  • Self-Paced/ Classroom
  • Certification Pass Guaranteed

  • Generate Detail Reports by Working with a Single Table, Joining Tables, Or Using Set Operators in SQL
    • Use PROC SQL to perform SQL queries.

      Select columns in a table with a SELECT statement and FROM clause.

      Create a table from a query result set.

      Create new calculated columns.

      Assign an alias with the AS keyword.

      Use case logic to select values for a column.

      Retrieve rows that satisfy a condition with a WHERE clause.

      Subset data by calculated columns with the CALCULATED keyword.

      Join tables - inner joins, full joins (coalesce function), right joins, left joins, cross

      joins.

      Combine tables using set operators - union, outer join, except, intersect.

      Sort data with an ORDER BY clause.

      Assign labels and formats to columns.

  • Generate Summary Reports by Working with a Single Table, Joining Tables, Or Using Set Operators in The Sql.
    • Summarize data across and down columns using summary functions (AVG,

      COUNT, MAX, MIN, SUM).

      Group data using GROUP BY clause.

      Filter grouped data using HAVING clause.

      Eliminate duplicate values with the DISTINCT keyword

  • Construct Sub-Queries and In-Line Views Within an SQL Procedure Step
    • Subset data by using non-correlated subqueries.

      Reference an in-line view with other views or tables (multiple tables).

  • Use Special Features of the SQL Procedure.
    • Use SAS data set options with PROC SQL (KEEP=, DROP=, RENAME=,

      OBS=).

      Use PROC SQL invocation options (INOBS=, OUTOBS=. NOPRINT,

      NUMBER)

      Use PROC SQL with the SAS Macro Facility to create macro variables with the

      INTO keyword.

      Use SAS functions (SCAN, SUBSTR, LENGTH).

      Access SAS system information by using DICTIONARY tables (members,

      tables, columns)

  • Create and Manipulate SAS Date Values
    • Explain how SAS stores date and time values.

      Use SAS informants to read common date and time expressions.

      Use SAS date and time formats to specify how the values are displayed

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  • Create And Use User-Defined and Automatic Macro Variables Within the SAS Macro Language
    • Define and use macro variables.

      Use macro variable name delimiter. (.)

      Use INTO clause of the SELECT statement in SQL.

      Use the SYMPUTX routine in a DATA Step.

      Control variable scope with:

      • %GLOBAL statement
        • %LOCAL statement
          • SYMPUTX scope parameter
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        • Process Data Using 1 and 2 Dimensional Arrays.
          • Define and use character arrays.

            Define and use numeric arrays.

            Create variables with arrays.

            Reference arrays within a DO loop.

            Specify the array dimension with the DIM function.

            Define arrays as temporary arrays.

            Load initial values for an array from a SAS data set.

        • Process Data Using Hash Objects
          • Declare hash and hash iterator objects

            • Dataset argument
              • Ordered argument
                • Multidata argument
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              BI And Visualization
              Microsoft Power BI Training Program
              30k LearnersWeekend/WeekdayLive Class
              • 2 Live Project
              • Self-Paced/ Classroom
              • Certification Pass Guaranteed

              • 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
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              • Power BI Desktop
              • Extracting data from various sources
              • Workspaces in Power BI
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              • 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
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              • 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
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              • 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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              BI And Visualization
              Tableau Training Program
              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 Program
              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 Training Program
              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 Training Program
              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

              Get full course syllabus in your inbox
              HR & Payroll
              Business Analyst Training Program
              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

              • 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
              Get full course syllabus in your inbox

              • 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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              • History of UML, its founding fathers and role of OMG (Object Management Group)
              • UML Diagrams UML Structure and UML Behaviour Diagrams
              • Important UML Diagrams for IT Business Analysts
              • Overview of UML Structure Diagrams
              • Activity Diagrams
              • Use Case Diagrams
              • State Machine Diagrams
              • Sequence Diagrams
              • Deployment Diagrams
              • Other UML Diagrams
              Get full course syllabus in your inbox

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              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.
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              FAQ's

              SAS Training in Noida is offered by Croma Campus. We’re a leading SAS Training Institute in Noida. We provide the most learning environment for the major technical course at an affordable price. The best SAS Training in Noida offered by the best technical IT training. We provide basic and advanced level SAS Training in Noida with proper practical knowledge.

              Our sturdy associations with prime organizations like HCL, Wipro, Dell, Birlasoft, TechMahindra, TCS, IBM, etc. make the U.S.A. capable to put our students in prime MNCs across the world.

              Croma Campus in Noida mentored more than 4000+ competitors with SAS Training in Noida at a truly sensible charge. The course educational program is redone according to the prerequisite of applicants/corporates.

              SAS Training Institute in Noida included some important courses like SAS Programming, SAS Macro Language, SAS SQL, SAS Advanced Programming etc.

              For details information & FREE demo class call us on +91-9711526942 or write to us info@cromacampus.com
              Address: - G-21, Sector-03, Noida (201301)

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