SAS Data Analysis: Workshop

Categories: SAS

About Course

This intensive hands-on workshop is designed to equip beginners and intermediate users with essential SAS data analysis techniques. You will gain real-world experience importing data, cleaning and transforming datasets, applying statistical procedures, and creating professional reports. The workshop combines theory with practical exercises to build your confidence in using SAS for data-driven decision-making.

Key benefits:

Work directly in the SAS environment
Learn critical DATA step programming and PROC steps
Analyze data using descriptive statistics and frequency tables
Generate customized reports for business or research needs
Develop skills applicable across industries like healthcare, finance, and marketing

Navigate the SAS environment and set up your programming workspace
Import data from CSV, Excel, and text files using PROC IMPORT and DATA steps
Clean, format, and transform datasets using SAS functions and conditional logic
Use core SAS procedures (PROC PRINT, PROC SORT, PROC MEANS, PROC FREQ) to analyze data
Generate professional, formatted reports with custom titles and labels
Export analysis results and reports to Excel, PDF, and CSV formats
Apply SAS programming skills to real-world data analytics problems
Build a foundational skillset for roles in clinical research, business analytics, and more

Course Content

Module 1: Introduction to SAS Environment
Overview of SAS interface and tools Setting up libraries and datasets

Module 2: Importing and Exploring Data
Reading CSV, Excel, and raw data files Using PROC PRINT and PROC CONTENTS

Module 3: DATA Step Programming Basics
Creating and modifying datasets Conditional logic and functions

Module 4: Key SAS Procedures for Data Analysis
PROC MEANS for descriptive statistics PROC FREQ for frequency analysis PROC SORT and PROC FORMAT basics

Module 5: Report Generation and Exporting Results
Generating formatted reports with PROC PRINT Exporting to Excel and PDF Introduction to ODS (Output Delivery System)

SAS Data Analysis: Workshop

About Course

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What Will You Learn?

Course Content

Module 1: Introduction to SAS Environment
Overview of SAS interface and tools Setting up libraries and datasets

Module 2: Importing and Exploring Data
Reading CSV, Excel, and raw data files Using PROC PRINT and PROC CONTENTS

Module 3: DATA Step Programming Basics
Creating and modifying datasets Conditional logic and functions

Module 4: Key SAS Procedures for Data Analysis
PROC MEANS for descriptive statistics PROC FREQ for frequency analysis PROC SORT and PROC FORMAT basics

Module 5: Report Generation and Exporting Results
Generating formatted reports with PROC PRINT Exporting to Excel and PDF Introduction to ODS (Output Delivery System)

Module 6: Practical Exercises and Project
Hands-on dataset analysis project Q&A and troubleshooting session

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About Course

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What Will You Learn?

Course Content

Module 1: Introduction to SAS Environment Overview of SAS interface and tools Setting up libraries and datasets

Module 2: Importing and Exploring Data Reading CSV, Excel, and raw data files Using PROC PRINT and PROC CONTENTS

Module 3: DATA Step Programming Basics Creating and modifying datasets Conditional logic and functions

Module 4: Key SAS Procedures for Data Analysis PROC MEANS for descriptive statistics PROC FREQ for frequency analysis PROC SORT and PROC FORMAT basics

Module 5: Report Generation and Exporting Results Generating formatted reports with PROC PRINT Exporting to Excel and PDF Introduction to ODS (Output Delivery System)

Module 6: Practical Exercises and Project Hands-on dataset analysis project Q&A and troubleshooting session

Trending Courses

Trending College Workshops

Company

Contact

Categories

Module 1: Introduction to SAS Environment
Overview of SAS interface and tools Setting up libraries and datasets

Module 2: Importing and Exploring Data
Reading CSV, Excel, and raw data files Using PROC PRINT and PROC CONTENTS

Module 3: DATA Step Programming Basics
Creating and modifying datasets Conditional logic and functions

Module 4: Key SAS Procedures for Data Analysis
PROC MEANS for descriptive statistics PROC FREQ for frequency analysis PROC SORT and PROC FORMAT basics

Module 5: Report Generation and Exporting Results
Generating formatted reports with PROC PRINT Exporting to Excel and PDF Introduction to ODS (Output Delivery System)

Module 6: Practical Exercises and Project
Hands-on dataset analysis project Q&A and troubleshooting session