Information Technology
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

Multiple and Logistic Regression in R

Course Cover
compare button icon
Course Report - Multiple and Logistic Regression in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

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

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Case Based Learning

projects-img

Post Course Interactions

projects-img

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

Skills You Will Gain

Prerequisites/Requirements

Correlation and Regression in R

What You Will Learn

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

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

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

Course Instructors

Author Image

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 Cover