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Overview
This course offers a comprehensive introduction to statistical data analysis using SAS, one of the most powerful analytics tools used in industry. Tailored for beginners and intermediate learners, it covers data preparation, manipulation, and statistical procedures such as regression, ANOVA, and hypothesis testing. You'll learn how to import datasets, clean data, and apply descriptive and inferential statistical techniques. Real-world datasets and hands-on exercises help solidify your understanding of SAS programming concepts. Whether you're preparing for a role in data analytics...
Syllabus
- L1 - Course Introduction
- Understanding the Workflow
- Data Manipulation - Naming Convention and IF THEN/ELSE Statement
- Data Manipulation - SAS Functions and DO Loop
- Dataset Manipulation - Subset and Append
- Dataset Manipulation - Merge and Transposition
- Descriptive Statistics - Frequency and Univariate Analysis
- One, Two Sample T-Test and ANOVA
- Linear Regression - Predicting the Outcome
- Bonus section: Data Visualization using SAS
- Source Codes
Instructor
John Zhong | JSTARTS.COM
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