Course Information
Course Overview
Understanding the Data Flow in SAS: Learn SAS Programming from Data Importing, Management, Manipulation to Data Analysis
COURSE ABSTRACT
This course aims to provide a comprehensive introduction to the SAS analytic software for Windows. Through a mixture of lectures and in-class examples, quizzes, and take-home assignments, students will gain experience using the SAS system for data manipulation, management and analysis. You will also expect A LOT of extracurricular learning materials for self-pace learning, treat it as a BONUS! Emphasis will be placed on the skills and techniques necessary for efficient data manipulation, management and analysis. It is designed for students with little to no background with SAS, and an understanding of the basic statistical concepts. This will be an excellent choice for your first SAS introduction course for your data analysis career.
Plus, you will get a FREE course - SAS Data Issue Handling and Good Programming Practice (check out in the bonus lecture)!!!
WHAT DO I EXPECT?
A comprehensive course design from SAS basics to statistical analysis
Many in-class examples, exercises and take-home assignment
Master various techniques for data importing
Solid understanding of variable attributes, and learn various character/numeric functions
IF-THEN/ELSE statements
Do loop and counter variables
Master DATA step with Concatenation, Merge, etc.
Exposed to several useful PROC step (PRINT, SORT, TRANSPOSE, etc.).
Descriptive statistics procedures (MEANS, UNIVARIATE, FREQ)
Hypothesis testing (UNIVARIATE, TTEST, ANOVA)
Correlations (CORR)
Regression (REG)
PREREQUISITE COURSES AND KNOWLEDGE:
No SAS background required;
Basic knowledge of statistics is preferred.
Course Content
- 11 section(s)
- 46 lecture(s)
- Section 1 L1 - Course Introduction
- Section 2 Understanding the Workflow
- Section 3 Data Manipulation - Naming Convention and IF THEN/ELSE Statement
- Section 4 Data Manipulation - SAS Functions and DO Loop
- Section 5 Dataset Manipulation - Subset and Append
- Section 6 Dataset Manipulation - Merge and Transposition
- Section 7 Descriptive Statistics - Frequency and Univariate Analysis
- Section 8 One, Two Sample T-Test and ANOVA
- Section 9 Linear Regression - Predicting the Outcome
- Section 10 Bonus section: Data Visualization using SAS
- Section 11 Source Codes
What You’ll Learn
- Learn SAS and be confident on your data analysis skills, Learn to accomplish a task with various SAS techniques, with tons of examples and quizes, Learn step-by-step statistical analysis from descriptive statistics, hypothesis testing to linear regression, Learn data importing with different techniques for variuos type of data, Use many important functions to make SAS programming easy, Advanced concepts of meta data: formats and informats, labels, lengths, etc., Learn the manipulation techniques to prepare the data and make the data analysis-ready, Perform dataset manipulations: subsetting, transposition, etc., Be able to properly interpret the results from statistical analyses, I am giving out one course for free. Check out the last lecture after you enroll
Skills covered in this course
Reviews
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AAustin Kim
na
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KKoushik Mondal
Nice
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MMichel Ribas Lobato
Curso bem estruturado.
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AAaron Peterson
Presentation style was fairly slow, monotone, and unengaging. Many of the course assignments lacked clarity both in the question and in that the instructor does not provide a "correct" example of the completed assignment as a reference, leading to blind-leading-the-blind situations in the answer review segment.