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Statistical Analysis System (The Business Intelligence & Data Analytics Technology)

(The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

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Page 1: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Statistical Analysis System (The Business Intelligence & Data Analytics Technology)

Page 2: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Detailed Curriculum

Introduction

Overview of SAS

Getting started with SAS

Accessing Data

Accessing existing SAS data sets

Reading raw data files

Reading Microsoft Excel files

Accessing a RDBMS (optional)

Managing Data

Reading SAS data sets and creating new columns

Controlling output of rows and columns

Conditional processing using IF...THEN...ELSE

Sorting SAS data sets

Combining SAS data sets

Recoding data values

Data Manipulation Techniques

Controlling Input and Output

Outputting multiple observations

Writing to multiple SAS data sets

Selecting variables and observation

Summarizing Data

Creating an accumulating total variable

Accumulating totals for groups of data

Reading and Writing Different Types of Data

Reading delimited raw data files

Controlling when a record loads

Page 3: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Reading hierarchical raw data files

Writing to an external file

Data Transformations

Introduction

Manipulating character values

Manipulating numeric values

Manipulating numeric values based on dates

Converting data types

Debugging Techniques

Using the PUT statement

Using the DEBUG option

Processing Data Iteratively

DO loop processing

SAS array processing

Using SAS arrays

Combining SAS data sets

Match-merging two or more SAS data sets

Simple joins using the SQL procedure

Analyzing Data

Creating frequency reports

PROC MEANS and PROC SUMMARY

The UNIVARIATE procedure (self-study)

Exporting data using the Output Delivery System (ODS)

Presenting Data

Titles, footnotes and SAS options

Generating reports using the PRINT procedure

PROC REPORT

PROC TABULATE

Producing graphical reports

Page 4: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Macro Language

Introduction

Purpose of the Macro Facility

Program Flow & Course Data

Macro Variables

Introduction to Macro Variables

Automatic Macro Variables

Macro Variable References

User-Defined Macro Variables

Delimiting Macro Variables Names

Macro Functions

Using Automatic Macro Variables

Using User-Defined Macro Variables

Processing Macro Variables

Displaying Macro Variable Values in the SAS Log

Using Macro Functions to Mask Special Characters

Using Macro Functions to Manipulate Character Strings

Using SAS Functions with Macro Variables

Combining Macro Variable References with Text

Macro Definitions

Defining and Calling a Macro

Macro Parameters

Storing Macro Programs

Understanding Session-Compiled Macros

Storing Macro Definitions in External Files

Storing Macro Definitions in Catalog SOURCE Entries

Using the Autocall Facility

Using Stored Compiled Macros

Page 5: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Data Step and SQL Interfaces

Creating Macro Variables in the DATA Step

Indirect References to Macro Variables

Retrieving Macro Variable in the DATA Step (Self-Study)

Creating Macro Variables in SQL

Macro Programs

Developing and Debugging Macros

Using Macro Parameters

Understanding Symbol Tables

Processing Statements Conditionally

Processing Statements Iteratively

Using Arithmetic and Logical Expressions

SQL Processing with SAS

Performing Queries Using PROC SQL

PROC SQL Basics

Writing a PROC SQL Step

Selecting Columns

Specifying the Table

Specifying Subsetting Criteria

Ordering Rows

Querying Multiple Tables

Summarizing Groups of Data

Creating Output Tables

Performing Advanced Queries Using PROC SQL

Viewing SELECT Statement

Displaying All Columns

Limiting the Number of Rows Displayed

Eliminating Duplicate Rows from Output

Page 6: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Subsetting Rows by Using Conditional Operators

Subsetting Rows by Using Calculated Values

Enhancing Query Output

Summarizing and Grouping Data

Subsetting Data by Using Subqueries

Subsetting Data by Using Non-correlated Subqueries

Subsetting Data by Using Correlated Subqueries

Combining Tables Horizontally Using PROC SQL

Understanding Joins

Generating a Cartesian Product

Using Inner Joins

Using Outer Joins

Creating an Inner Join with Outer Join-Style Syntax

Comparing SQL Joins and DATA Step Match-Merges

Using In-Line Views

Joining Multiple Tables and Views

Combining Tables Vertically Using PROC SQL

Understanding Set Operations

Using the EXCEPT Set Operator

Using the INTERSECT Set Operator

Using the UNION Set Operator

Using the OUTER UNION Set Operator

Comparing Outer Unions and Other SAS Techniques

Getting Started with the SAS ODS Basics

Output Delivery System

Understanding the components and basic terminology

Viewing and identifying output objects

Selecting output objects

Page 7: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Using the Output Destination

Using the default ODS listing destination

Creating RTF files

Creating PDF files

Creating HTML files

Using ODS PRINTER (self-study)

Output Destination

Creating output data sets with ODS

Using selections to create output data sets (optional)

Enhancing Reports Using ODS

Changing the styles of reports, titles, and footnotes

Creating HTML navigation aids

Changing the table definition

Working with Styles

Creating and modifying a cascading style sheet for HTML files

Creating a style with the TEMPLATE procedure

Using ODS template stores

Using ODS with the DATA Step

Accessing ODS from a DATA step program

Using the STYLE= Option

Using the STYLE= option with the PRINT procedure

Using the STYLE= option with the TABULATE procedure

Using the STYLE= option with the REPORT procedure

Creating Graphics with ODS

Creating graphics output

Page 8: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Advanced Reporting Techniques

The REPORT Procedure

Review REPORT procedure syntax for detail and summary

Reporting

Customize BREAK text

Use a COMPUTE block

Create a cross-tabular report with ACROSS variables

Reference a PROC REPORT column by column number

Use the LINE statement

Use the _BREAK_ automatic report variable

Calculate row percentages and cumulative percentages within

COMPUTE blocks

Use the CALL DEFINE statement

Customize REPORT procedure output with STYLE= statement

Level options

Perform traffic lighting in REPORT procedure output with CALL

DEFINE statements

The TABULATE Procedure

Review TABULATE procedure syntax for summary reporting

Calculate percentages using default statistic names

Calculate percentages using denominator specifications and angle

Bracket operators

Use PICTURE formats

Use multi-label formats

Control the row structure within a table

Create pages with PROC TABULATE

Control the treatment of missing values and missing CLASS

Values

Specify form characters for drawing the table in LISTING output

Page 9: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Customize TABULATE procedure output with STYLE=

Statement level options

Perform traffic lighting in TABULATE procedure output with

User-defined formats

The Output Delivery System

Modifying TABLE templates

Investigate the basic syntax for TABLE templates

Use a modified TABLE template

Trace output object creation with ODS TRACE statement

Select output objects for report creation

Creating and using STYLE templates

Investigate the basic syntax for STYLE templates

Use a modified STYLE template

Control template retrieval and storage with ODS PATH statement

ANOVA, Regression, and Logistic Regression

Introduction to Statistics

Discussing fundamental statistical concepts

Examining distributions

Describing categorical data

Constructing confidence intervals

Performing simple tests of hypothesis

Analysis of Variance

Performing one-way ANOVA

Performing multiple comparisons

Performing two-way ANOVA with and without interactions

Regression

Using exploratory data analysis

Producing correlations

Fitting a simple linear regression model

Page 10: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Understanding the concepts of multiple regression

Building and interpreting models

Describing all regression techniques

Exploring stepwise selection techniques

Categorical Data Analysis

Describing categorical data

Examining tests for general and linear association

Understanding the concepts of logistic regression and multiple logistic regression

Exploring logic plots (Self-Study) Regression Diagnostics

Examining residuals

Investigating influential observations and co-linearity

Page 11: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

SAS Enterprise Guide 4.2

Bringing Data into a Project

Sources of Data

Locations for Data

Creating SAS Data Libraries with SAS Enterprise Guide Explorer

Creating SAS Data Libraries with the Assign Library Task

Opening SAS Data Tables

Editing Values in SAS Data Tables

Inserting Rows in SAS Data Tables

Inserting Columns in SAS Data Tables

Sorting Data Tables

Creating New Data Tables

Using Microsoft Excel Spreadsheets As Is

Opening Microsoft Excel Spreadsheets as SAS Data Sets

Reading Delimited Raw Data

Reading Formatted Data

Reading Fixed-Width Raw Data

Exporting Data

Modifying Data Using the Query Builder

Selecting Columns in a Query

Sorting Data in a Query

Creating Columns Using Mathematical Operators in the Expression Editor

Creating Columns Using Functions in the Expression Editor

Selected Functions

Adding a Grand Total to a Data Table

Adding Subtotals to a Data Table

Creating Summary Data Tables in a Query

Page 12: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Filtering Data

Creating Compound Filters

Filtering Based on Grouped Data

Recoding Values in a Query

Changing the Result Type of Queries

Producing Complex Reports in Summary Tables

Creating Summary Tables with Frequencies

Adding Statistics to Summary Tables

Changing Heading Properties in Summary Tables

Changing Class Level Headings and Properties in Summary Tables

Changing Table Properties in Summary Tables

Changing Data Value Properties in Summary Tables

Basic Statistical Analysis

Distribution Analysis

Summary Statistics

Table Analysis

Correlations

Linear Regression

Analysis of Variance

Producing Graphs

Bar Charts

Pie Charts

Simple Line Plots

Multiple Line Plots

Scatter Plots

Selecting the Graph Output Format

Page 13: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Industry Interface Program

Projects

3 Assignments / Mini Projects

1 Database-based Project

1 Major Project

Domains / Industry

Retail Industry

Banking & Finance

Service

E-Commerce

Manufacturing & Production

Web Application Development

Research & Analytics

HR & Consultancy

FMCG

Consumer Electronics

Event Management Industry

Telecom

Page 14: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Training & Performance Tracking

Knowledge related to current technology aspects and corporate level deliverable &

Continuous training and assessment to make you industry ready. Throughout the Training

Curriculum Candidate will go through a Scheduled Assessment Process as below:

Continuous Assessments

Practical Workshops

Modular Assignments

Case Studies & Analysis

Presentations (Latest Trends & Technologies)

Tech Seminars

Technical Viva

Observing live Models of various projects

Domain Specific Industry Projects

Page 15: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

SAS Certifications

(Base Programmer/Advance Programmer)

Page 16: (The Business Intelligence & Data Analytics Technology)Categorical Data Analysis Describing categorical data Examining tests for general and linear association Understanding the concepts

Skills Development Workshop

Communication is something which all of us do from the very first day of our life, yet there

is a question that haunts us most of the time “Did I express myself correctly in such and

such situation?” The answer to this question is really tricky, because in some cases we

leave our signatures and good impression but in some others we even fail to get our idea

clearly. It happens mostly because we don’t know how to act in certain situations. Every

time we fail we don’t lose completely, we do learn something, but prior knowledge of the

same thing could be more beneficial because then we could have turned that failure into

success.

The course / workshop would focus at many aspects of personality, like:

Building positive relationships with peers & seniors

Building self-confidence & Developing clear communication skills

Exploring and working on factors that help or hinder effective interpersonal

communication

Learning impacts of non-verbal behavior & Dealing with difficult situations and

difficult people

Workshops Consists of Following Activities:

Personality Development

Group Discussions & Debates

Seminar & Presentations

Case Studies & Analysis

Corporate Communication

HR & Interview Skills

Management Games & Simulations

Aptitude, Logical & Reasoning Assessments & Development