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Introduction to Regression in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course is designed to provide an introduction to linear and logistic regression, two widely used statistical models for analyzing relationships between variables. By the end of the course, students will have a solid understanding of how to solve simple linear and logistic regressions using real-world data. The course covers a range of topics, including motor insurance claims, Taiwan house prices, and fish sizes. Students will learn how to use R programming language to perform linear regression analysis and build regression models. In addition, they will gain the skills to make predictions and measure model performance using their own data. This course is ideal for anyone looking to enhance their data analysis skills and unlock the secrets hidden within data sets.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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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

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Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Course Reviews

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