Doing More with SAS Programming

Go to Course: https://www.coursera.org/learn/sas-programming-advanced

Introduction

### Course Review: Doing More with SAS Programming Are you a business analyst or a SAS programmer looking to deepen your understanding of data manipulation techniques using SAS? If so, the Coursera course "Doing More with SAS Programming" could be the perfect fit for you. This course serves as an advanced extension of the foundational "Getting Started with SAS Programming" course, making it ideal for individuals who already possess a basic understanding of SAS software and are eager to enhance their skills. #### Course Overview "Doing More with SAS Programming" provides a comprehensive journey into data manipulation by utilizing the powerful SAS DATA step and procedures. The course content is well-structured and designed to build upon prior knowledge, enabling participants to gain a more nuanced understanding of how to access, transform, and summarize data effectively. #### Detailed Syllabus Breakdown 1. **Course Overview and Data Setup** - The course kicks off with an introduction, giving you a roadmap of what to expect. Here, you will also set up the required software and data for your practice activities, ensuring that you are ready to dive in. 2. **Controlling DATA Step Processing** - This module delves into the workings of the DATA step, allowing you to control the flow of data more precisely. Understanding how the DATA step processes data will empower you to optimize your data output better. 3. **Summarizing Data** - You will learn how to create accumulating columns, generating running totals, and processing data in groups, which are essential techniques for detailed data analysis. 4. **Manipulating Data with Functions** - In this section, you will master various functions that allow you to manipulate numeric, date, and character values. Furthermore, the course teaches you how to convert data types effectively. 5. **Creating and Using Custom Formats** - This module focuses on enhancing data presentation through the creation of custom formats, which can make your reports and tables more readable and visually appealing. 6. **Combining Tables** - An essential skill for any data analyst, this part of the course tackles table combination techniques, including concatenating and merging tables, while also identifying matching and non-matching rows. 7. **Processing Repetitive Code** - Save time and streamline your coding process by learning about iterative processing with DO loops. This module prepares you to automate repetitive tasks efficiently. 8. **Restructuring Tables** - Finally, the course concludes with techniques for restructuring data, including transposing tables. This skill is invaluable, particularly when needing data in a specific format for analysis or reporting. #### Why You Should Consider This Course The "Doing More with SAS Programming" course is highly recommended for those looking to enhance their SAS programming skills beyond the basics. Here are some reasons to consider: - **Targeted Learning**: Each module is designed to focus on a specific area of data manipulation, allowing for incremental learning and mastery. - **Practical Application**: The course emphasizes practical techniques that you can apply in real-world scenarios, making it beneficial for immediate use in your job. - **Community Support**: Joining the course also means becoming part of a community of learners, which can provide support and broaden your learning experience. ### Conclusion In conclusion, if you are serious about advancing your SAS programming skills and becoming adept at data manipulation techniques, "Doing More with SAS Programming" on Coursera is worth your time and investment. With comprehensive content, practical applications, and structured learning, this course could be an excellent addition to your professional development toolkit. Enroll today and unlock the potential of SAS to transform your data analysis capabilities!

Syllabus

Course Overview and Data Setup

In this module you get an overview of what you learn in this course and you set up the software and data you use for activities and practices in the course.

In this module, we dig deeper into the DATA step. You learn how the DATA step processes data behind the scenes. Then you use this knowledge to control when and where the DATA step outputs rows to new tables.

In this module, you learn new syntax that enables you to alter the default behavior of the DATA step to solve a problem. First you learn to create an accumulating column, or in other words generate a running total. Then you learn to process data in groups, so you can perform an action when each group begins or ends.

In this module, you learn to use some new functions that enable you to manipulate numeric, date, and character values. In addition, you learn to use functions that change a column from one data type to another.

In this module, you learn to create and use custom formats to enhance the way your data is displayed in a table or report.

In this module, we take a comprehensive look at combining tables by using the DATA step. You learn to concatenate tables, merge tables, and identify matching and nonmatching rows.

In this module, you learn to save time by taking advantage of iterative processing with DO loops. First you learn to create an iterative DO Loop, then you learn to create conditional DO loops.

In this module, you learn techniques that can be used to transpose or restructure a table. First you learn to restructure data with the DATA step. Then you learn to restructure data by using the TRANSPOSE procedure.