Learn and master the skills required for SAS proficiency and SAS Base certification, including SQL procedures and macros
Are you looking to become a data analyst or data scientist? If so, there are various tools and techniques to implement data analytics, but SAS offers many benefits as your first programming language to master: it’s easy to learn and has a user-friendly GUI. To date, it holds the highest market share of all the analytics tools available. If you have little or no programming background and want to get started with SAS, then this is the right course for you!
This course will help you become a confident and proficient data analyst and SAS programmer by giving you the hands-on knowledge and in-depth understanding of the SAS programming suite and how to utilize it effectively. Additionally, it will help you master different techniques in SAS to manipulate your data. You’ll learn how to work with SQL queries and generate effective data reports. Moreover, this course will provide all the content you’re looking for to prepare for the SAS Base certification exam.
By the end of this course, you’ll have a thorough understanding of the fundamental SAS concepts, along with rich hands-on experience of the SAS suite.
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/SAS-in-Practice
About the Author
Ekta Saraogi is a computer engineer with over 12 years’ experience. She started her career as Java developer and delivered the e2e SSO web portal for ARC, based out of USA. She then led the Java implementation and delivery for payment gateway solutions for AMEX UK. Currently, she leads an e2e solution design for BT TV for UK’s British Telecom Plc. During her career, one thing that always intrigued her is the power of “data” to drive business outcomes—driven by the right tools. Her own data focus has enabled her to deliver cost-effective business analytics solutions for global businesses. She is now a freelancer and corporate/online trainer and mentors in data science with SAS, R, and Python. She works on various projects across different domains for global clients across the US and UK.