This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables. Prerequisites: Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.
Overview
Skills You'll Learn
SAS Studio, Databases, Reports, Data Management, Data Analysis, Computer Programming, Import Data, Statistical Programming, Data Analysis Software, Prepare Data, SQL, SAS Programs
Reviews
4.8 (3,114 ratings)
- 5 stars84.97%
- 4 stars12.42%
- 3 stars1.31%
- 2 stars0.32%
- 1 star0.96%
VH
Jun 30, 2020
This was an excellent course. Meticulously planned for a beginner with no much knowledge on SAS. However basic programming logic or knowledge is highly useful. This course has benefited me a lot.
BM
Feb 21, 2019
This course offers a solid foundation to anyone who is interested in beginning to use SAS. I have found the demos, activites and practices to be fairly easy yet still required me to use my brain.
From the lesson
Analyzing and Reporting on Data
In this module, we concentrate on summarizing data by using the SAS procedures that we touched on for data exploration. You also learn how to use titles, column labels, footnotes, and macro variables to enhance your reports and make them more meaningful.
Taught By
Stacey Syphus
Director