In this module, we will explore why SAS is accessible for beginners and walk you through essential steps like registering for SAS OnDemand, logging into a SAS session, and navigating the user interface. You will gain practical insights into how to efficiently set up and start using SAS.

In this module, we will dive into the essentials of preparing data in SAS. You will learn how to manage datasets, import data using multiple methods, and work with variables through creation, renaming, and conditional logic. This section also covers SAS functions and formatting techniques, equipping you with the tools to handle and manipulate data effectively.

In this module, we will focus on organizing and structuring data in SAS, from stacking and merging to removing duplicates and sorting data across multiple levels. You'll also explore the use of PROC SQL for data manipulation and learn how to transpose data for advanced analytical workflows.

In this module, we will explore data visualization techniques in SAS, focusing on creating different types of charts and plots. You'll also learn how to generate report outputs and summary statistics, along with using ODS to format these reports for presentation and analysis.

In this module, we will explore techniques to optimize SAS code using macro variables and macros. You’ll learn how to apply these powerful tools to make your code more efficient and reusable, including working with nested macros and resolving ampersand references. Practical examples and functions will showcase how macros can automate and enhance your programming workflows.

In this module, we will introduce the 'Project Heavyweight' case study, a guided exercise designed to apply the concepts you've learned. You will work with real data, using SAS to prepare, structure, and visualize it, while optimizing your code through the use of macros and other techniques. This hands-on experience will solidify your understanding of SAS in practical scenarios.