SAS originally stood for "Statistical Analysis System", which as the name suggests was used for Statistical analysis. Today it has evolved to become a ubiquitous Business Intelligence (BI) tool which is used for Data analysis, reporting, predictive modelling, data mining, econometric and time series analysis...pretty much anything and everything related to Data Analytics

Topics Covered

Accessing Data (4 Hours) • Use FORMATTED, LIST and COLUMN input to read raw data files • Use INFILE statement options to control processing when reading raw data files • Use various components of an INPUT statement to process raw data files including column and line pointer controls, and trailing @ controls • Combine SAS data sets using the DATA step Creating Data Structures (2 Hours) • Create temporary and permanent SAS data sets • Create and manipulate SAS date values • Use DATA Step statements to export data to standard and comma delimited raw data files • Control which observations and variables in a SAS data set are processed and output Managing Data (5 Hours) • Investigate SAS data libraries using base SAS utility procedures • Sort observations in a SAS data set • Conditionally execute SAS statements • Use assignment statements in the DATA step • Modify variable attributes using options and statements in the DATA step • Accumulate sub-totals and totals using DATA step statements • Use SAS functions to manipulate character data, numeric data, and SAS date values • Use SAS functions to convert character data to numeric and vice versa • Process data using DO LOOPS • Process data using SAS arrays • Stacking/Interleaving/merging Data Sets in the DATA step • Combining Data Sets Using a One-to-One/ One-to-Many Match Merge • Merging Summary Statistics with the Original Data • Changing Observations to Variables Using PROC TRANSPOSE • Using SAS Automatic Variables Generating Reports (4 Hours) • Generate list reports using the PRINT and REPORT procedures • Generate summary reports and frequency tables using base SAS procedures • Enhance reports through the use of labels, SAS formats, user-defined formats, titles, footnotes and SAS System reporting options • Generate HTML reports using ODS statements Handling Errors (1 Hour) • Identify and resolve programming logic errors • Recognize and correct syntax errors • Examine and resolve data errors

Who should attend

A SAS Base programmer should have current SAS programming experience including the ability to import and export raw data files, manipulate and transform data, combine SAS data sets, create basic detail and summary reports using SAS procedures, and identify and correct data syntax and programming logic errors. Candidates should also be familiar with the enhancements and new functionality that are available in SAS 9.

Pre-requisites

Logical Thinking

What you need to bring

Laptop (or need to have PC at home) Pen Notebook

Key Takeaways

Analytically Understanding to handle large data Create automate and informative reports Analyze and validate the raw data Reporting and Analytics Regression and Predictive Analytics