1. DV Analytics Training Package
dvanalytics.training@gmail.com

3. Course Contents
• SAS Base Programming:
• SAS Programming 1:
• Introduction SAS system and Getting Familiar to SAS environment
• Creating Libraries and Datasets using Data Step
• Producing List Reports using Proc Step
• Data Manipulation Techniques using
• Data Step Vs Proc Step
• Format Vs Informat
• Reading raw data files using Infile and Proc Import statement
• PDV
• Examining Errors in SAS programing
• Conditional processing using If, Where, Keep, Drop statement
• Remove Duplicate records using Proc Sort
• Combining SAS dataset using SAS Merge and Set statement
•
• Summary Reports
– Proc Means, Proc Freq, Proc Summary, Proc Univariate, Proc Report, Proc Tabulate

4. Course Contents
• SAS Programming 2:
• Introduction to Base SAS programming with Statements, Options and Functions
• Controlling Input and Output observation
• Data Manipulation Techniques using
– Writing Multiple Dataset
– Data Transformation
• Transposing and Expanding Dataset
• SAS Functions (Numeric and Character)
– Writing to External File
– Creating An Accumulating Total Variable
– Combining Duplicate Records Using First. And Last.
– Reading Delimited Raw Data File in .txt (text File),.csv (CSV File),.xlsx (Excel File) and .accdb
(Access Database)
• DSD, DLM, MISSOVER,TRUNCOVER,STOPOVER and FLOWOVER options used in reading raw data file
– Connecting SAS to Other Database Server
– Debugging Techniques
• Put Statement
• Debug Options
• Processing Data Interactively
• DO Loop
• SAS Arrays

5. Course Contents
• SAS SQL Processing
• Accessing Data Using SQL
• Generate detail reports by working with a single table or joining tables using PROC SQL and the
appropriate options
• Generate summary reports by working with a single table or joining tables using PROC SQL and the
appropriate options
• Construct sub queries within a PROC SQL step
• Compare solving a problem using the SQL procedure versus using traditional SAS programming
techniques
• Access Dictionary Tables using the SQL procedure
• Demonstrate advanced PROC SQL skills by creating and updating tables, updating data values,
working with indexes using the macro interface/creating macro variables with SQL, defining
integrity constraints, SQL views and SET operators
• Macro Processing
• Creating and using user-defined and automatic macro variables within the SAS Macro Language
• Automate programs by defining and calling macros using the SAS Macro Language
• Understand the use of macro functions
• Recognize various system options that are available for macro debugging and displaying values of
user-defined and automatic macro variables in the SAS log

6. Course Contents
• Advanced Programming Techniques
• Demonstrate advanced data set processing techniques such as updating master
data sets, transposing data, combining/merging data, sampling data, using
generation data sets, integrity constraints and audit trails
• Reduce the space required to store SAS data sets and numeric variables within SAS
data sets by using compression techniques, length statements or DATA step views
• Develop efficient programs by using advanced programming techniques such as
permanent formats and array processing
• Use SAS System options and SAS data set options for controlling memory usage
• Control the processing of variables and observations in the DATA step
• Create sorted or indexed data in order to avoid unnecessary sorts, eliminate
duplicate data and to provide more efficient data access and retrieval
• Use PROC DATASETS to demonstrate advanced programming skills (e.g. renaming
columns, displaying metadata, creating indexes, creating integrity constraints,
creating audit trails)
• SAS Project-Practical

7. Course Contents
• Excel Base:
• Introduction MS Excel
• Navigation technique in Excel
– Cells Reference, Range, Rows and Columns
– Format Paint, Border Style and Designing, Cell Merging, Conditional Formatting, Sorting and filtering, Data
Validation, Data consolidation
– Data Import and Export
– Basic Pivot Table, Chart
– Excel Formulas and Functions like IF and Nested IF, Vlook-up, HLook-up, Sum,Sum IF,Match, Offset and
Index etc.
– Running Manual Excel Macro and Recording
• Excel Advanced:
• Advanced Data Manipulation Techniques
– Advanced Pivot Design
– Advanced Pivot Options for reporting
– Power Pivot technique
• Excel Dashboard using Excel functions and VBA Macros
• Excel VBA Programming
•
• Excel Project-Practical

8. Course Contents
• ACCESS Base and Advanced:
• Introduction MS ACCESS
• Navigation technique in ACCESS and Access Objects
– Creating Database, Tables, Field Properties
– Access Queries (Select, Make Table, Append, Update, Delete,
Crosstab, Union and Union All)
– Data Import and Export in Access
– Access Pivot Table, Chart
– Access Join
– Forms and Reports
– Access Formulas and Functions
– Access Modules using Access VBA
– Access Data Manipulation technique using SQL queries
• Access Project-Practical

9. Basic and Advanced Data analytics
• Introduction to basic descriptive statistics
• Introduction to basic statistical analysis
– Hands-on exercises
• Data exploration & Data preparation
– Hands-on exercises
• Linear Regression model building
– Hands-on exercises on simple linear model
– Hands-on exercises on multiple linear models
• Logistic Regression model building
– Hands-on exercises on Logistic Regression
• Customer segmentation using cluster analysis
– Hands-on exercises on sample data
• Decision tree models
– Hands on exercises on sample data
• Hypothesis testing with examples
– Hands on exercises on sample data
• Time series forecasting
– Hands on excesses on prediction
• Step by step process of credit risk model building

10. Contact us
• dvanalytics.training@gmail.com
• http://dvanalyticstraininginstitute.blogspot.in
• https://www.facebook.com/DvAnalyticsTrainingInstitute
• 9591793303
• Koramangala 1st block, Jakasandra,Near HDFC
Bank,Bangalore-560034