The following links describe a set of free SAS tutorials which help you to learn SAS programming online on your own. It includes tutorials for data exploration and manipulation, predictive modeling and some scenario based examples.
SAS (Statistical analysis system) is one of the most popular software for data analysis. It is widely used for various purposes such as data management, data mining, report writing, statistical analysis, business modeling, applications development and data warehousing. Knowing SAS is an asset in many job markets. It is tagged ‘leader’ in Advanced Analytics Platforms as per Gartner 2015 and 2016 reports.
SAS Tutorial for Beginners
The following tutorials are designed for beginners who have no programming background or new to SAS programming language. These tutorials explain how to download and install SAS software and how to get started with SAS.
- Free Download and Install SAS Software
- Free SAS Access – No Install Required
- Getting Started with SAS
- What SAS stands for
- Reading / Importing Raw Data into SAS
- SAS keyboard shortcuts that every analyst must know
SAS Tutorials – Base SAS
These tutorials are designed to cover all the topics of Base SAS certification. It includes explanation of topics on data structures, data management, data analysis and report generation.
- Importing Excel Data into SAS
- Read Character Variable of Varying Length
- Creating or Modifying a Variable
- Dropping variables from a data set in SAS
- IF-Then-Else Statements
- Where Statement and Dataset Options
- WHERE vs. IF Statements
- How Data Step and PROC SQL Works
- Calculate Frequency Distribution with PROC FREQ
- Specify a list of variables
- Use of WildCard Character
- Character Functions
- SAS Date Formats and Informats
- Date Functions
- INTCK Function with Examples
- INTNX Function with Examples
- Missing Values in SAS
- Convert Character Variable to Date
- Convert Numeric Variable to Date
- Proc Format
- Delete empty rows in SAS
- First. and Last. Variables
- Proc Sort : Identifying and storing unique and duplicate values
- Proc Means : A Detailed Explanation
- Use of Multiple Set Statements
- Joining and Merging in SAS
- SAS Many to Many Merge
- Combining and Aggregating Data in SAS
- Retain Statement
- Proc Transpose Explained
- Proc Univariate Tutorial
- Proc Rank Explained
- Calculating Percentiles with SAS
- COALESCE Function
- COMPGED Function
- SAS Arrays and DO Loops
- Proc Tabulate Explained
- Length of Numeric Variables
- Check number of observations
- Pattern Matching with SAS
- Send SAS Output to Excel
- Handle Variable Name having Spaces
- Speed Up SAS Code with Index
SAS Advanced : Proc SQL
These tutorials are intended for people who are new to SQL programming language. PROC SQL is an advanced SAS procedure that helps to run SQL queries to manage and manipulate data. These tutorials include Introduction of SQL with examples, PROC SQL Joins, conditional statements and useful tips and tricks of SQL etc.
- Proc SQL Tutorial for Beginners (20 Examples)
- Proc SQL Joins (Merging)
- Combining Tables Vertically with PROC SQL
- Insert Rows in the Table
- Alter Table and Update Column
- Intermediate PROC SQL Tutorial
- Proc SQL Self Joins
- Connect to Teradata using SAS
- Join on Multiple Columns
- Join on Multiple Tables
- Comparing two tables
- Find records only exist in one table
- Random Sampling with PROC SQL
- Alternative to _N_ in PROC SQL
- NODUPKEY with PROC SQL
- Use DISTINCT in CASE WHEN
SAS Advanced : SAS Macros
These tutorials provide useful guide for learning SAS Macros. It includes useful tips and tricks of SAS Macro programming and outlines real world examples of SAS Macros.
- SAS Macro Programming
- Difference between SYMPUT and SYMGET
- Multiple Ampersand Macro Variables
- CALL EXECUTE made easy
- Stop SAS Macro Processing on Error
- Count number of variables assigned in a macro variable
- Example of a dynamic %DO Loop
- Get Variable Names from a Dataset
- Run SAS Procedure on Multiple Datasets
- Building SAS Macro Library
- Dropping Variables Ending with a Specific String
- Importing multiple excel files in a single dataset
- Importing multiple excel sheets in a single dataset
- Imputing Missing Data
- Identify and Remove Outliers with SAS
- Test for Normal Distribution
- Reordering Variables
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