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返回到 消费者分析

學生對 宾夕法尼亚大学 提供的 消费者分析 的評價和反饋

4.6
10,600 個評分
2,317 條評論

課程概述

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...

熱門審閱

ND
2019年1月30日

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!

MA
2020年8月4日

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.

篩選依據:

376 - 消费者分析 的 400 個評論(共 2,266 個)

創建者 Arasu R

2016年10月3日

Wonderful work out by the Professors. Great knowledge transferred. Agreed with the conclusion that future of marketing is really business analytics.

創建者 Rohan S

2020年12月26日

It was a very informative course for me. I will definitely try to implement all the important concepts learned in this course for various analyses.

創建者 WT d

2020年9月3日

One of the best online courses attended. A lot of good info and sharing in session for marketing analytics context which is relevant and practical.

創建者 Rupal P

2020年5月16日

Leaned a lot of new things in the world of analytics! Thanks to Coursera and Wharton faculty! Can't wait to learn more about the remaining courses.

創建者 Jagdish R K

2019年10月12日

The course delivers exactly what it promises. The topics and concepts are well explained in the most recent context and in a very intuitive manner.

創建者 caihong

2016年12月6日

I like this class so much,especially the application last one.It is so amazing that data analisis are so interesting.Thank you fou all the teacher'

創建者 Sugandha S

2016年10月7日

Great course! Gives you the basic "detailed" knowledge about Customer Analytics. For someone new to data analysis, this is a great course to take.

創建者 Eduardo C

2016年2月22日

Fantastic! I never had a chance to see analytics from this point of view and so amazing to discover how to implement this for my profissional life!

創建者 Nyuage T

2020年5月28日

Learning about the applications of customer analytics to optimisation of revenue makes it a lot easier to love marketing. The course is impacting.

創建者 Rahul D

2017年5月1日

Course gives a good foundational understanding of descriptive, predictive and prescriptive analytics which can be used to manage customers better.

創建者 Tijana Z

2020年10月9日

The course was very helpful and valuable. More details regarding application and models and quantitative application would be even more valuable.

創建者 Himanshu P

2020年7月4日

Probably the best bunch of professors ever to teach this course. I had a thorough understanding and the language was clear and simple. THANK YOU!

創建者 Olivier B N

2019年12月12日

I have been interested in Business Analytics and Data Science, this has been the first step that started my journey.

Thanks a lot to everyone.

Olv.

創建者 AJAY E

2019年5月28日

It gives you a clear insight about how a consumer makes his buying decision and how to make business decision based on customers buying patterns.

創建者 Jacqueline L

2017年10月31日

Truly enjoyed this course as it gave me insights to how we should be looking at data and the value one can derive to facilitate decision making.

創建者 Hashim N

2016年12月21日

This is an excellent course ; the trainers are great and the content is very relevant and explained in an easy to understand yet concise manner.

創建者 Huang J

2015年12月25日

A very good introductory course in customer analytics which strikes a balance between theory and practical examples. Enjoyed the course greatly.

創建者 RITWIK B

2021年12月5日

very helpful in achieving professional growth and understanding data from a different perspective with multiple case studies thank you coursera

創建者 Dana P

2020年7月10日

Very good materials & presenter. Some quizzes are pretty tough to crack, make you run through the course materials again and really take notes.

創建者 Mohit A

2020年6月18日

Now I have understood how analytics is important. But for more exposure, I need to apply it practically to solve real-time problems and issues.

創建者 Idsarut S

2020年5月17日

Great content, Still useful even I watched this in 2020. Expect a bit more detail on calculation side and/or sample case especially on week 2-3

創建者 Pramod T J

2020年5月3日

Excellent course. It provided me an insight into customer lifetime value. The material that I learned in this course will help me in my career.

創建者 Silvio G

2019年3月1日

thank you very much for the opportunity, it seemed a very interensate, dynamic and entertaining course, loaded with a lot of useful information

創建者 Deleted A

2018年3月18日

I did enjoy this course: very fruitful and practical. I would like to deeply appreciate this opportunity and strongly recommend it to everyone.

創建者 Nato w

2016年9月16日

The course gave me a deeper understanding of the technological development and drive in industry to automate interactive processes. Insightful!