Machine Learning for Marketing Analytics in R

via

DataCamp

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

This is your chance to dive into the world of marketing and business analytics with R. Everyday companies face many decisions. With statistical models, you can help businesses make better business decisions based on data. We'll show you how statistical modeling can help improve the performance of your business. We will show you how communication can make a difference and what to do with your results.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Regression in R

What You Will Learn

In this course you'll learn how to use data science for several common marketing tasks

You're going to learn about and apply strategies to communicate your results and help them make a difference

Course Content

Expand all sections

Module 1: Modeling Customer Lifetime Value with Linear Regression

Module 2: Logistic Regression for Churn Prevention

Module 3: Modeling Time to Reorder with Survival Analysis

Module 4: Reducing Dimensionality with Principal Component Analysis

Course Instructors

Verena Pflieger

Data Scientist at INWT Statistics

Data analytics was already part of Verena skill set during her studies of political and administrative science and statistics. Since earning her degree in 2014 Verena has been applying her experience...