SAS Programming - Learn SAS from Beginner to Advanced

Topics: SAS for Data Import, Transformation, Analysis, and Modeling. SAS Macro.
4.55 (1284 reviews)
Udemy
platform
English
language
Science
category
instructor
SAS Programming - Learn SAS from Beginner to Advanced
9 361
students
8.5 hours
content
Mar 2025
last update
$79.99
regular price

What you will learn

Be equipped with the powerful SAS language to start an amazing data analysis career

Learn by analyzing real world projects: Retail Store Revenue, Stock Market, Car Sales, and Basketball players

Master how to import and merge data, clean your data, and use conditional logic

Learn how to generate statistics such as mean value, median value, and standard deviation

Be ready to work in Finance and Pharmaceutical industries that requires SAS programming skills

Be able to perform linear regression to analyze data

Be able to create charts and plots for data (visualization)

Apply Macro Programming skills to write efficient SAS programs

Course Gallery

SAS Programming - Learn SAS from Beginner to Advanced – Screenshot 1
Screenshot 1SAS Programming - Learn SAS from Beginner to Advanced
SAS Programming - Learn SAS from Beginner to Advanced – Screenshot 2
Screenshot 2SAS Programming - Learn SAS from Beginner to Advanced
SAS Programming - Learn SAS from Beginner to Advanced – Screenshot 3
Screenshot 3SAS Programming - Learn SAS from Beginner to Advanced
SAS Programming - Learn SAS from Beginner to Advanced – Screenshot 4
Screenshot 4SAS Programming - Learn SAS from Beginner to Advanced

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Our Verdict

This 8.5-hour course offers in-depth SAS programming knowledge for those eager to start or progress their data analysis career. With a strong focus on real-world applications and solid theoretical background, the course provides valuable expertise for finance and pharmaceutical sectors demanding SAS programming skills. Though facing minor drawbacks such as inconsistent sound quality, formatting issues, and certain beginner-oriented aspects requiring further development – it remains an effective learning environment for learners with varied competency levels.

What We Liked

  • The instructor provides detailed explanations of SAS system functionality and syntax, facilitating comprehensive understanding.
  • Practicing coding skills on real-world projects, like retail store revenue analysis, stock market, car sales, and basketball player statistics, enhances confidence in applying SAS skills to daily jobs.
  • A wide range of essential topics are covered, such as data importing, merging, cleaning, conditional logic, descriptive statistics, linear regression, and data visualization.

Potential Drawbacks

  • There is room for improvement regarding audio quality and a few videos not being playable in Firefox; formatting lectures could also be clearer to avoid confusion when teaching the tabulate procedure.
  • A handful of learners experienced issues with downloading required data files, which may hinder practice due to security settings or restrictions.
  • Some sections contain elements that may not be beginner-friendly, assuming familiarity with certain topics that some true beginners might not have yet.
2168574
udemy ID
22/01/2019
course created date
24/11/2019
course indexed date
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