Enroll Course: https://www.coursera.org/learn/sas-programming-basics
If you’re looking to dive into the world of data science, machine learning, or artificial intelligence, understanding how to manipulate and analyze data is paramount. The ‘Getting Started with SAS Programming’ course on Coursera is an excellent entry point for anyone aiming to master SAS, a powerful tool widely used in various industries.
This course is designed for beginners and effectively guides you through the fundamental aspects of SAS programming. From the very first module, ‘Course Overview and Data Setup,’ you’re eased into the learning environment, ensuring you have the necessary data to follow along with the practical exercises. The ‘Essentials’ module lays a strong foundation by introducing you to the SAS programming tools and the core structure and syntax of SAS programs. This is crucial for building confidence and competence.
One of the most significant takeaways from this course is learning how to access and manage data. The ‘Accessing Data’ module covers how to identify SAS table features, work with SAS libraries, and import data from various sources like Microsoft Excel and text files. This practical skill is invaluable for any data-related role.
Furthermore, the course delves deep into data exploration and preparation. Modules like ‘Exploring and Validating Data’ teach you how to use SAS procedures to gain insights, subset data for focused analysis, format it for clarity, and sort it to identify and resolve duplicates. The ‘Preparing Data’ module equips you with essential data manipulation techniques, including filtering rows and columns, creating new variables, and implementing conditional processing.
Beyond preparation, the course also focuses on analysis and reporting. You’ll learn to summarize data effectively using SAS procedures and enhance your reports with titles, labels, footnotes, and macro variables, making your findings more understandable and impactful. The ‘Exporting Results’ module provides the crucial skill of sharing your work by exporting SAS tables and results to common formats like Excel, Microsoft Word, and PDF.
Finally, the inclusion of ‘Using SQL in SAS’ is a fantastic addition. This module introduces you to the SQL procedure within SAS, enabling you to read, filter, create, and join tables using SQL syntax. This integration highlights SAS’s versatility and its ability to work seamlessly with SQL.
Overall, ‘Getting Started with SAS Programming’ is a comprehensive and well-structured course that provides a solid foundation for anyone interested in data analysis and programming. It’s an ideal prerequisite for more advanced SAS courses and a valuable addition to your data science toolkit. I highly recommend this course for its clarity, practical approach, and the essential skills it imparts.
Enroll Course: https://www.coursera.org/learn/sas-programming-basics