Building Statistical Models in R: Linear Regression
Welcome to this project-based course Building Statistical Models in R: Linear Regression. This is a hands-on project that introduces beginners to the world of statistical modeling. In this project, you will learn the basics of building statistical models in R. We will start this hands-on project by exploring the dataset and creating visualizations for the dataset. By the end of this 2-hour long project, you will understand how to build and interpret the result of simple linear regression models in R.
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- Level Beginner
- Duration 3 hours
- Course by Coursera Project Network
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Offered by
Modules
Practical Application via Rhyme
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3
Readings
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1
Plugin
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1
Lab
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Assignment
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Assignment
- Graded Quiz: Building Statistical Models in R: Linear Regression
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Labs
- Building Statistical Models in R: Linear Regression
3
Readings
- Project-based Course Overview
- Building Statistical Models in R: Linear Regression R script, dataset & data dictionary
- Additional Resources: Massive list of R data sets
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Dive into the world of statistical modeling with "Building Statistical Models in R: Linear Regression." This beginner-friendly, 2-hour project-based course by Coursera, led by an experienced instructor, covers the essentials of constructing and interpreting linear regression models in R. Ideal for those with basic statistics and R knowledge, it offers hands-on learning through dataset exploration, visualization, and model assessment. Join now for free and enhance your data science skills!
Arimoro Olayinka Imisioluwa