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Dv Analytics Course Contents


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Dv Analytics Course Contents

  1. 1. DV Analytics Training Package
  2. 2. 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
  3. 3. 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
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. 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
  8. 8. 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
  9. 9. Contact us • • • • 9591793303 • Koramangala 1st block, Jakasandra,Near HDFC Bank,Bangalore-560034