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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
10,852 個評分
2,367 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

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.

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!

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401 - 消费者分析 的 425 個評論(共 2,321 個)

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!

創建者 Suraj K

2016年7月24日

customer analytics are the basic things and one should know how things going to work. i am happy that i have successfully completed the course

創建者 Anthony N

2016年3月2日

Interesting thoughts on all aspects of customer and market analytics.

Additional course resources were very useful to me in my current job role.

創建者 Poornima P

2021年5月2日

This is good course to follow to get basic idea about descriptive, predictive and prescriptive analytics with market research and case studies

創建者 Sahar S A

2020年10月29日

This has been a wholistic experience for me. The course has fueled my interest in the subject to explore its endless possibilities. Thank you!

創建者 Nicholas S

2020年6月21日

A great introduction to the granular world of customer analytics, not just the marketing world through analytics. I would highly recommend it!

創建者 Franc

2020年5月21日

Extremely useful. Would be great if more practical exercises would be included, however that was outlined in the beginning, so can't complain.

創建者 Jawdat A R

2015年12月14日

By far the best course I have taken. Cant wait to complete this specialization. Thanks to the whole team for offering this course on Coursera.

創建者 Srinivasan V

2018年8月2日

A mix of technical stuff explained in simplified language. The Advanced Management Science bit was mind boggling. Amazing knowledge transfer.

創建者 Maryia M

2016年3月8日

Exciting material and talented instructors! One of the amazing parts is the applicable to real life CLV model with an R package. Many thanks!

創建者 Jason M

2015年11月19日

This course gave us pretty advanced concept and technologies on customer analytics. It opened a window for us to dive into it more in future.

創建者 Nicole K

2019年3月11日

I really enjoyed this course. There was a good mix of numerical theories and general concepts. It'll definitely come in handy in the future.

創建者 Mudita B

2016年11月30日

Great learning experience. Got to know the nuances of Business Analytics and that too in a very interesting and systematic manner.

Thank You!

創建者 Ulisan K

2021年2月6日

This was so helpful in giving me the information I needed for my career pivot. Great pace! Good instructors. Loved the learning experience!

創建者 Bilal F

2021年1月29日

Great course and and professors. Dr. Fader might just be the best tutor I came across during both my Bachelor and Master engineering years.

創建者 Shula A

2020年5月7日

Interesting take on Customer Analytics. The videos were short and concise, but were able to provide insightful information about the topic!

創建者 Bre P

2019年12月27日

Great course with really good insights on the current applications of analytics in marketing and future developments of these applications.

創建者 saransh

2019年2月2日

Awesome course.... Very interesting introduction to customer lifetime value...customer analytics one at a time...technology applications...