- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
عن
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. Also, you will learn how to perform model assessments and check for assumptions using diagnostic plots. By extension, you will learn how to build and interpret the result of a multiple linear regression model. Note that you do not need to be a data scientist to be successful in this guided project; just a familiarity with basic statistics and R suffice for this project. If you are not familiar with R and want to learn the basics, start with my previous guided project titled “Getting Started with R”. So, taking this project will give the needed requisite to complete this project on Building Statistical Models in R: Linear Regression. However, if you are comfortable using R, please join me on this wonderful and exciting ride! Let’s get our hands dirty!الوحدات
Practical Application via Rhyme
1
Assignment
- Graded Quiz: Building Statistical Models in R: Linear Regression
1
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
Auto Summary
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!

Instructor
Arimoro Olayinka Imisioluwa