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
Data Presentation, Data Analysis, Exploratory Data Analysis, Data Validation, Descriptive Statistics, Data Manipulation, Data Access, SAS (Software), Data Import/Export, Microsoft Excel, SQL
Reviews
4.8 (3,128 ratings)
- 5 stars84.97%
- 4 stars12.40%
- 3 stars1.34%
- 2 stars0.31%
- 1 star0.95%
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.
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.
From the lesson
Accessing Data
In this module, you learn to identify the features of a SAS table, access data through SAS libraries, and import data into SAS.
Taught By
Stacey Syphus
Director