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å­¦ē”Ÿåƹ ESSEC Business School ęä¾›ēš„ Foundations of marketing analytics ēš„čƄ价和反馈

4.6
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761 äøŖčƄ分

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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....

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VS

Jun 10, 2020

Clear practical explanation of concepts. However atleast a basic knowledge of R is essential to take up the course. Even if you don't know R the concepts can be understood except the coding part

GC

Aug 16, 2021

Very good course. It helps to have a short PDF file embedded along with notes, containing the most commonly used R commands and its usage so that Newbies get a chance to understand this quickly

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151 - Foundations of marketing analytics ēš„ 175 äøŖčƄč®ŗļ¼ˆå…± 183 äøŖļ¼‰

创å»ŗ者 Rakesh K

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Nov 22, 2015

Just one more short videos on other methods of Marketing Analytics

创å»ŗ者 Gretchen Z

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Sep 20, 2016

Need some extra work in order to get this certification.

创å»ŗ者 Shivanand R K

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Jun 20, 2016

Great and Excellent thoughts and course material.

创å»ŗ者 PRISO

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Jan 19, 2018

Great course, less useful than the first one

创å»ŗ者 Swarna S T

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Aug 27, 2020

Everything is shown in practical examples

创å»ŗ者 Harmandeep S B

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Apr 19, 2020

Good course and very simply taught.

创å»ŗ者 jumana S

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Apr 25, 2017

a great way to compute rather th

创å»ŗ者 Priyanka G

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May 29, 2018

Contents of the course is ni

创å»ŗ者 Suriyamoorthy K

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Mar 21, 2018

Under the Marketing Techniqu

创å»ŗ者 CBO

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May 16, 2017

Good introductory course...

创å»ŗ者 Deleted A

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Nov 30, 2019

I like the use case a lot!

创å»ŗ者 Sanjay B

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Apr 2, 2018

Good knowledge course.

创å»ŗ者 Amit R

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Jul 12, 2018

course is very good

创å»ŗ者 Pablo C

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Feb 28, 2016

Outstanding course!

创å»ŗ者 Mengyu L

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Apr 21, 2017

Easy to understand

创å»ŗ者 Nanthakumar M

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Apr 11, 2020

Good to Learn.

创å»ŗ者 Nishu V

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Mar 21, 2018

Good course ,

创å»ŗ者 Angel R

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Apr 21, 2016

Very well

创å»ŗ者 josephmary

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Jun 18, 2020

yes

创å»ŗ者 William F

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Apr 13, 2016

Ok

创å»ŗ者 Sivaji M

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Apr 10, 2018

N

创å»ŗ者 Anant S

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Jun 18, 2017

It will be better if CLV concept is fully and more clearly elobarated. Otherwise for concepts only its a nice course.

创å»ŗ者 surajeet g

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Nov 2, 2015

assignments could have been a little tougher with more emphasis on coding.

创å»ŗ者 Sasa L

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Jun 2, 2017

Concepts are very good, but the questions are too simple.

创å»ŗ者 Eugene T

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Dec 8, 2015

Good insight into marketing analysis and the use of R