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  • The SAS certification training course in Gurgaon has been designed to provide you all the necessary skills that are considered vital to become a SAS programmer. You will learn about SAS basics, statistical techniques, and advanced programming concepts in SAS.
  • The course gives a series of interactive assignments that will make your learning even more effective than usual. The SAS training course will help you to prepare for certifications as well that include SAS BASE certified professional, SAS Advanced Programmer, and SAS administrator.
  • The SAS training course will also help to gain skills in business intelligence domain and business analytics space. Once you complete the SAS certification Training course with us, you will gain enough proficiency in managing spreadsheets, databases, SAS functions, and more.
  • With the top SAS training in Gurgaon, you will also gain hands-on expertise in data mining, data analytics, data modelling techniques, predictive analysis, and how to gain meaningful insights with real-world projects. At the basic level, you will learn about SAS Macros, SQL procedures, Statistical techniques, and decision trees.

SAS Training in Gurgaon

About-Us-Course

  • The core objective of SAS training course in Gurgaon is to help you learn SAS basics programming and SAS advance programming concepts.
    • Learn predictive analytics in SAS, Learn SAS GUI, datasets, data manipulation techniques, and import/export keywords in SAS.

      You will also get an idea of iterative looping and conditional looping in SAS.

      You will learn how to solve complex SAS problem using SAS.

      You would know how to manage SAS programming using arrays.

      Perform basic and advanced analytics using statistical techniques in SAS.

      Know about automation or complex tasks that can be automated with the help of MACROs.

      You would learn about invoking SQL queries using SAS.

      The SAS placement course will help you to prepare for the certification and start applying for jobs in leading industries.

  • With the most prominent SAS training institute in Gurgaon, you not only acquire the essential SAS skills but make yourself eligible for leading industries as well.

  • Most of the Companies believe that SAS is a suitable platform for data analytics and helps to make quick decisions too. For almost all industries, only 12 percent of total data is analyzed thoroughly and rest is wasted. For a professional SAS programmer especially on the completion of SAS training in Gurgaon, the average salary ranges between $70K to $102K even at the beginner level. It may vary as you grow in your experience.
  • SAS is one of the most sought-after technology these days and most common profiles associated with SAS include SAS data scientists, business analysts, etc. With an amazing growth witnessed by the platform, it is the most potent time to get into the SAS training course with the leading SAS training institute in Gurgaon and start a never-ending career ahead!

  • SAS delivers an unexpected career growth on the completion of SAS training in Gurgaon and it has been the market leader too for many years to come. There are more than 1.5 lacs jobs active currently in the SAS domain and the count is certainly going to rise in the near future too. So, you can imagine itself the career growth and future scope in SAS. Also, if you complete one certification exam too alongside then it is easy to ask for 30 percent hike or even more.
  • So, it is clear that SAS certification course makes you a specialist in SAS technology and makes you a quick decision-maker too. Also, SAS online training will help you to meet your career goals too.

  • SAS is a powerful business analytics platform and helps enterprises to improve their business performance to the superior level. The SAS training in Gurgaon helps you to get the right skills to manage spreadsheet and databases. The course makes you eligible to apply for leading industries and makes you a good decision-maker too. If you know SQL fundamentals in-depth then it could be an added benefit for you.
  • SAS means STATISTICAL ANALYSIS SYSTEM that offers detailed analytics including BI, predictive analytics, data management, multivariate analysis, and more. SAS is the number one technology in business analytics and helps industries to manage their daily work effectively. The main objective of SAS platform is to convert collected data into meaningful insights that may give a completely new direction to businesses.
  • SAS has a friendly GUI and it can be used by anyone either he is a technical or non-IT person. To use this software, data must be in excel or SAS format only. With SAS certification course, you will get all the required skills and learn to manage spreadsheets and databases like a pro. Get trained by the most potent SAS training institute in Gurgaon and make yourself eligible to apply for industry giants today.

  • There are multiple job roles and responsibilities in SAS that you would know with the SAS training in Gurgaon. For your reference, we are giving basic idea what is common to all job profiles.
    • You must have a sound idea of SAS basics programming and SAS advance programming concepts.

      You must know about the predictive analytics in SAS, SAS GUI, datasets, data manipulation techniques, and import/export keywords in SAS.

      You must have an idea of iterative looping and conditional looping in SAS.

      You should know how to solve complex SAS problem using SAS.

      You must know how to manage SAS programming using arrays.

      You should know about basic and advanced analytics using statistical techniques in SAS.

      You must know about automation or complex tasks that can be automated with the help of MACROs.

      You will also learn about invoking SQL queries using SAS.

  • With the eminent SAS training in Gurgaon, you would become capable to manage all these job roles and responsibilities with utmost grace.

  • Microsoft, Walmart, IBM, Facebook, Oracle, and more. These are a few top hiring industries in SAS that are actively recruiting SAS professionals worldwide. With the SAS certification course in Gurgaon, you become capable enough to apply for leading industries and clear their interviews in the first attempt mostly. Also, gain expertise in using SAS basic programming techniques and learn about advanced concepts at the later stage.
  • In this way, SAS placement course in Gurgaon will help you to become an in-demand SAS professional and earn credentials that are valid worldwide. SAS is an amazing analytics tool that is used by largest industries these days and ensures effective results too.

  • The SAS Training in Gurgaon is suitable for anyone who want to learn about SAS basic and advanced skills. It is also good for learners who want to gain hands-on expertise in passing certification exam.
  • The best part is that you will be awarded with a course completion certificate in the end. This certificate is a valid proof of your skills and helps you to gain preference among the crowd as a skilled SAS professional. We wish you all the very best for a brighter career ahead!

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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

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              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
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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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              • 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
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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 Gurgaon is offered by Croma Campus. We’re a leading SAS Training Institute in Gurgaon. We provide the most learning environment for the major technical course at an affordable price. The best SAS Training in Gurgaon offered by the best technical IT training. We provide basic and advanced level SAS Training in Gurgaon 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 Gurgaon mentored more than 4000+ competitors with SAS Training in Gurgaon at a truly sensible charge. The course educational program is redone according to the prerequisite of applicants/corporates.

              SAS Training Institute in Gurgaon 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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