- 14 Sequences
- Intermediate Level
- Starts on August 19, 2018
- Ends on December 13, 2018
FA18: Statistical Modeling and Regression Analysis
Archived
Course
en
English
112 h
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Course details
Syllabus
Weeks 1-2: Introduction to the most basic regression: Simple Linear Regression with data examples
Weeks 3-4: Introduction to the Analysis of Variance (ANOVA) Model with data examples
Weeks 5-8: Introduction to most popular regression model: Multiple Linear Regression with data examples
Weeks 9-11: Introduction to Logistic Regression and Poisson Regression within the more general regression approach, generalized linear model, with data examples
Weeks 12-14: Introduction to multiple approaches to variable selection illustrated with an extensive data analysis example
Weeks 3-4: Introduction to the Analysis of Variance (ANOVA) Model with data examples
Weeks 5-8: Introduction to most popular regression model: Multiple Linear Regression with data examples
Weeks 9-11: Introduction to Logistic Regression and Poisson Regression within the more general regression approach, generalized linear model, with data examples
Weeks 12-14: Introduction to multiple approaches to variable selection illustrated with an extensive data analysis example
Prerequisite
A sound familiarity with undergraduate or graduate statistics and probability but also basic programming proficiency, linear algebra and basic calculus.
Instructors
Nicoleta Serban
Associate Professor
Georgia Institute of Technology
Editor
The Georgia Institute of Technology
Platform
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