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 Data Visualization with ggplot2
Introduction to Statistics in R
What You Will Learn
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R
You’ll learn the basics of this popular statistical model, what regression is, and how linear and logistic regressions differ
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
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
Course Reviews
Average Rating Based on 3 reviews
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