Choice Modeling for Marketing in R

Name: Choice Modeling for Marketing in R
Brand: Careervira
Price: 150 USD
Availability: InStock
Rating: 1 (1 reviews)

via

DataCamp

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.

Visit Course Report

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

People make choices every day. Every day, people make choices. People make choices every day about what products they want (such as orange juice and cars), who they vote for, how they get there. This information is crucial for retailers, product designers, and other professionals. Choice models are used to predict what options people will choose, and can be used to aid in product design decisions. This course will teach you how to organize and estimate choice models in R. It includes both real-world and survey-based choice analysis.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate Regression in R

What You Will Learn

Learn to analyze and model customer choice data in R

This course will teach you how to organize choice data, estimate choice models in R and present findings

Course Content

Expand all sections

Module 1: Quickstart Guide

Module 2: Managing and Summarizing Choice Data

Module 3: Building Choice Models

Module 4: Hierarchical Choice Models

Course Instructors

Elea McDonnell Feit

Assistant Professor of Marketing at Drexel University

Elea is a marketing professor at Drexel University and a Senior Fellow of Wharton Customer Analytics. She uses analytics to understand people so that companies can make better decisions. She enjoys m...