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学生对 宾夕法尼亚大学 提供的 消费者分析 的评价和反馈

9,568 个评分
2,127 条评论


Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this course, four of Wharton’s top marketing professors will provide an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. This course provides an overview of the field of analytics so that you can make informed business decisions. It is an introduction to the theory of customer analytics, and is not intended to prepare learners to perform customer analytics. Course Learning Outcomes: After completing the course learners will be able to... Describe the major methods of customer data collection used by companies and understand how this data can inform business decisions Describe the main tools used to predict customer behavior and identify the appropriate uses for each tool Communicate key ideas about customer analytics and how the field informs business decisions Communicate the history of customer analytics and latest best practices at top firms...



Jan 31, 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!


Aug 05, 2020

This course includes a comprehensive overview of the all the basic models that are used to analyze data concerning customer behavior. The real-life examples made it easier to relate to those theories.


1801 - 消费者分析 的 1825 个评论(共 2,066 个)

创建者 Yu Y

Jul 11, 2020

too theretical

创建者 Ons M S A M

May 30, 2019

Great Insight

创建者 Oluwadamilola A

Sep 20, 2017

Great course!

创建者 akram

Nov 04, 2016

Great courtse

创建者 Manojkumar P

Dec 29, 2015

Nice course.

创建者 Nguyen P H

Sep 18, 2015

Great course

创建者 ASIF S

Apr 30, 2020


创建者 Arnab G

Jun 09, 2018

good course

创建者 Robert B C

Sep 29, 2015

Good course

创建者 Cesar E G M

May 14, 2020

Buen curso

创建者 Khurram S K

Mar 26, 2016


创建者 Gourav S

Aug 08, 2019

Good one

创建者 PARK K B

Sep 09, 2020


创建者 Joshua S

Apr 29, 2019


创建者 Nazatul A B A R

Nov 05, 2016


创建者 Alvin L

Mar 16, 2016


创建者 waseem s

May 01, 2020


创建者 yash

Apr 28, 2020


创建者 马雨禾

Nov 18, 2019


创建者 Yash D

Jun 01, 2019


创建者 thulasiram .

Sep 11, 2016


创建者 Venkatesh C

Mar 02, 2016


创建者 HymaPrashanthi

Jan 17, 2018


创建者 Govind R A

Aug 01, 2017


创建者 Hemant M

Jun 10, 2020

It was a good hands on basic Introduction for Customer analytics. However The introduction of descriptive,predictive and prescriptive analytics was mixed with marketing so the amount of time that could be dedicated to marketing was dedicated to introducing analytics. This course was more general knowledge and E-Commerce rather than marketing. I wanted the course to be more specific: How marketing theories help in building predictive models and What a marketing analyst knows that other data analysts don't know. If you are an absolute beginner in analytics, give it a try. Otherwise it may be too simple for you.