Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Statistics in R
Introduction to Data Visualization with ggplot2
What You Will Learn
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R
You’ll also grow your regression skills as you get hands-on with model objects, understand the concept of "regression to the mean", and learn how to transform variables in a dataset
You’ll learn the basics of this popular statistical model, what regression is, and how linear and logistic regressions differ
ou’ll learn how to quantify how well a linear regression model fits, diagnose model problems using visualizations, and understand the leverage and influence of each observation used to create the model
Course Instructors