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Foundations of marketing analytics に戻る

エセック・ビジネススクール(ESSEC Business School) による Foundations of marketing analytics の受講者のレビューおよびフィードバック

4.5
518件の評価
141件のレビュー

コースについて

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. Business Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage. It's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on. But at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future. That's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course....

人気のレビュー

KN

Apr 21, 2019

From the course I gained the knowledge of the fundamental of market analysis, it will not be too hard to understand, it gives you a general sense of how market analysis will be like.

TB

Dec 02, 2017

Lectures were insightful and very applicable. Learning was reinforced with well documented R scripts. After this course I feel capable of applying these concepts to my own company.

フィルター:

Foundations of marketing analytics: 101 - 125 / 137 レビュー

by Subham S D

Jun 09, 2019

This is a very good course which describes about how you can analyse your customers buying behaviour to make changes to your business.

by parth g

Feb 27, 2016

This course is well explained by Professor. Sometimes i found myself in trouble using R Syntax because i wasn't much familiar with it

by Krishna C

Feb 02, 2016

Course is great with actual coding examples so that students can understand how the actual process happens.

by Manish T

Nov 15, 2015

The course provides good insights in Marketing Analytics and impart introductory knowledge on the subject.

by Wendy B

Apr 12, 2016

Very interesting course material. However, I do NOT recommend anyone to pay for the specialization.

by Nils R

Jan 28, 2016

Very good for an overview. Would have been excellent with a more in-depth and demanding sequel.

by tom p

Dec 03, 2015

Great introduction to the topic. Built on the last course and deepened my R knowledge a lot.

by aman g

Nov 09, 2015

Received theoretical as well as practical knowledge from the course

by Rakesh K

Nov 22, 2015

Just one more short videos on other methods of Marketing Analytics

by Gretchen Z

Sep 20, 2016

Need some extra work in order to get this certification.

by Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

by PRISO

Jan 19, 2018

Great course, less useful than the first one

by Jumana S

Apr 25, 2017

a great way to compute rather th

by Priyanka G

May 29, 2018

Contents of the course is ni

by Suriyamoorthy K

Mar 21, 2018

Under the Marketing Techniqu

by CBO

May 16, 2017

Good introductory course...

by Harits M

Dec 01, 2019

I like the use case a lot!

by Sanjay B

Apr 03, 2018

Good knowledge course.

by Amit R

Jul 12, 2018

course is very good

by Pablo C

Feb 28, 2016

Outstanding course!

by Mengyu L

Apr 22, 2017

Easy to understand

by Nishu V

Mar 22, 2018

Good course ,

by Angel R O

Apr 21, 2016

Very well

by Nanthakumar M

Mar 29, 2018

Good

by William F

Apr 13, 2016

Ok