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Multiple and Logistic Regression in R

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5

(3)

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$12

$6

49% OFF

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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

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course will improve your linear regression skills. Multiple and logistic regression techniques will be taught to help you predict numeric and categorical outcomes using multiple input variables. These models can also be fitted, visualized and interpreted. Next, you'll use your skills and knowledge to discover more about Italian restaurants around New York City.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Correlation and Regression in R

What You Will Learn

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In this course you'll take your skills with simple linear regression to the next level

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You will gain the skills to model and predict both numeric and categorical outcomes using multiple input variables

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You'll also learn how to fit, visualize, and interpret these models

Course Instructors

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Ben Baumer

Assistant Professor at Smith College

Ben is an Assistant Professor in the Statistical Data Sciences Program at Smith College. He completed his Ph.D. in Mathematics at the Graduate Center of the City University of New York in 2012. He is...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover

$12

$6

49% OFF

Visit Course

Visit Course