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, Exploratory Data Analysis, Data Analysis, Data Validation, Descriptive Statistics, Data Manipulation, Data Access, SAS (Software), Statistical Programming, Data Import/Export, Microsoft Excel, SQL
Reviews
4.8 (3,141 ratings)
- 5 stars84.94%
- 4 stars12.44%
- 3 stars1.33%
- 2 stars0.31%
- 1 star0.95%
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.
SK
May 14, 2020
Simple, Straight to the point, Engages learners with tiny quizzes to help in learning actively. Could have more reading material as optional to dive deeper though. Overall, Great beginner course.
From the lesson
Exploring and Validating Data
In this module, you learn to use SAS procedures that provide insights about your data. You also learn to subset data so you can focus on particular segments, format data so you can easily understand it, and sort data to identify and resolve duplicate values.
Taught By
Stacey Syphus
Director