Building Response Models in R

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(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

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course on data modeling in marketing will teach you how to analyze and utilize digital data to improve marketing strategies effectively. By creating simple models, you will be able to identify patterns in customer reactions and market actions. These models will allow you to quantify marketing variables such as price, promotion tactics, and other factors by utilizing aggregate sales and individual-level data. With the help of data scientists, you will gain the skills to build statistical models that show the impact of your marketing efforts. This course is essential for marketing professionals who want to measure the success of their campaigns and make data-driven decisions.

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 Regression in R

What You Will Learn

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

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

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...

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