Data Analysis in R: Predictive Analysis with Regression

Offered By
In this Guided Project, you will:

Describe the data set (checking the structure of the dataset, checking for missing values, checking for correlations, basic data visualizations)

Build regression models and interpret the results

Predict new values using the regression model

2 hours
No download needed
Split-screen video
Desktop only

Increasingly, predictive analytics is shaping companies' decisions about limited resources. In this project, you will build a regression model to make predictions. 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 be able to build and interpret the result of a simple linear regression model 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. To succeed in this project, you need to be familiar with using R to describe data. If you are unfamiliar with R and want to learn the basics, start with my previous guided project, "Getting Started with R." However, if you are comfortable using R, please join me on this beautiful and exciting ride! Let's get our hands dirty!

Skills you will develop

  • Predictive Modelling

  • Statistical Analysis

  • R Programming

  • Data Analysis

  • Predictive Analytics

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Import packages and dataset

  2. Use R functions to describe the data

  3. Create data visualization using ggplot

  4. Practice Activity - Load and describe a dataset

  5. Build a simple regression model

  6. Perform diagnostic checks on fitted model

  7. Perform model fit assessment - Part 1

  8. Perform model fit assessment - Part 2

  9. Build a simple regression model with transformation

  10. Make predictions using fitted model

  11. Build a multiple regression model

  12. Portfolio Activity - Create a model to predict house prices in Iowa

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions

By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

Guided Projects are not eligible for refunds. See our full refund policy.

Financial aid is not available for Guided Projects.

Auditing is not available for Guided Projects.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.