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Building Response Models in R

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5

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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

Nearly all companies collect digital data as part their marketing campaigns. It is used to improve their marketing strategies. Data scientists often use this information to build statistical models that enable marketing professionals to see if their efforts have paid off. This course will help you identify patterns in customer reactions and marketing actions by creating simple models that show market reaction. This course will teach you how to quantify marketing variables like price, promotion tactics, and other factors by using aggregate sales data and individual-level data.

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

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Introduction to Regression in R

What You Will Learn

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Learn to build simple models of market response to increase the effectiveness of your marketing plans

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In this course, you will learn how to uncover patterns of marketing actions and customer reactions by building simple models of market response

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In particular, you will learn how to quantify the impact of marketing variables, such as price and different promotional tactics, using aggregate sales and individual-level choice data

Course Instructors

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Kathrin Gruber

Assistant Professor of Econometrics, Erasmus University Rotterdam

Kathrin is an Assistant Professor in the Department of Econometrics at Erasmus University Rotterdam. Her interests lie in advanced statistical models and scalable methods for large and complex data s...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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