Enroll Course: https://www.coursera.org/learn/sas-programming-advanced
In the current data-driven world, the ability to manipulate and analyze data effectively is a crucial skill for business analysts and programming professionals. For those who have a foundational understanding of SAS programming and wish to elevate their data manipulation techniques, the course ‘Doing More with SAS Programming’ on Coursera offers an invaluable resource.
This course is specially designed for individuals who have already taken the ‘Getting Started with SAS Programming’ course, making it essential for users with some SAS experience wishing to dive deeper into the functionalities of SAS DATA steps and procedures.
Course Overview highlights the importance of data setup while guiding learners through the initial stages. This module prepares you perfectly for hands-on practices later in the course.
One of the most engaging aspects is the Controlling DATA Step Processing module, where you will learn the inner workings of the DATA step, enabling you to control output effectively. This is vital for those looking to refine their data analysis techniques.
The course also delves into Summarizing Data, where participants learn new syntax to create accumulating columns and group processing. The ability to generate running totals is not only practical but also a common requirement in analytical tasks.
Manipulating Data with Functions showcases how to use various functions essential for handling different data types. The practical applications of numeric, date, and character manipulations are well-explained, making it easier for participants to apply these skills in real-world scenarios.
Additionally, Creating and Using Custom Formats teaches you how to enhance data presentation, emphasizing that how you present data can be just as important as the data itself.
Combining tables is another key feature explored in the module titled Combining Tables. This module covers intricacies like concatenating and merging tables, along with identifying matching and non-matching rows, an essential skill for any data analyst.
Processing Repetitive Code allows participants to streamline their coding processes through iterative processing with DO loops. This is a game-changer for anyone looking to optimize their coding efficiency.
Last but not least, the Restructuring Tables module introduces advanced techniques for transposing data, which can significantly simplify the analysis of complex datasets.
Overall, ‘Doing More with SAS Programming’ is a comprehensive course that builds on foundational skills and provides learners with the tools necessary for advanced data manipulation and analysis using SAS. I highly recommend this course to anyone looking to enhance their SAS programming skills and take their data handling capabilities to the next level.
Enroll Course: https://www.coursera.org/learn/sas-programming-advanced