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....

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.

Interested in earning a top quality data science degree?

Free course: The Science of Well-Being

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

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人気のレビュー

KN

TB

Foundations of marketing analytics： 51 - 75 / 140 レビュー

人気の高いオンラインコース

人気の高いオンライン専門講座

オンライン修了証

オンライン学位プログラム

Coursera

コミュニティ

さらに表示

Interested in earning a top quality data science degree?

Free course: The Science of Well-Being

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

コースについて

人気のレビュー

KN

TB

Foundations of marketing analytics： 51 - 75 / 140 レビュー

人気の高いオンラインコース

人気の高いオンライン専門講座

オンライン修了証

オンライン学位プログラム

Coursera

コミュニティ

さらに表示

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