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In this course, you will :
- Learn SAS and gain confidence in your data analysis abilities.
- With plenty of examples and quizzes, you'll learn how to complete a task using various SAS techniques.
- Learn statistical analysis step by step, from descriptive statistics to hypothesis testing and linear regression.
- Learn how to import data using various techniques for various types of data.
- To make SAS programming easier, use a variety of important functions.
- Meta data advanced concepts include formats and informats, labels, lengths, and so on.
- Learn how to prepare data for analysis by using manipulation techniques.
- Perform dataset manipulations such as subsetting, transposition, and so on.
- Be able to properly interpret statistical analysis results.
Syllabus :
- Understanding the Workflow
- Data Manipulation - Naming Convention and IF THEN/ELSE Statement
- Data Manipulation - SAS Functions and DO Loop4
- 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
