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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
9,423 個評分
2,083 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

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!

MA

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.

篩選依據:

351 - 消费者分析 的 375 個評論(共 2,022 個)

創建者 Srinivasan V

Aug 02, 2018

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

Mar 08, 2016

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

Nov 20, 2015

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

Mar 11, 2019

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

Nov 30, 2016

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 Shula A

May 08, 2020

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

Dec 27, 2019

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

創建者 saransh

Feb 02, 2019

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

創建者 Prasanna

Oct 07, 2018

I thoroughly enjoyed this course, learnt a lot of new terms in customers analytics. Thanks to the professors. Especially Prof. Raghu, Eric.

創建者 Manas G

Jul 15, 2018

Awesome Course from Marvelous and extraordinary University. Faculties and teachers are Knowledgeable and good English communication skills.

創建者 Helder R C V

Mar 03, 2016

Good foundation for the customer analytics subject. Detailed explanations and covers all the important topics with some practical examples.

創建者 Yuxing D

Sep 02, 2020

This course gives me a basic picture of what Business Analysis is, and the way that professors convey the knowledge is easy to understand.

創建者 Lea K A

Aug 10, 2019

I liked the course. It was very informative. I'd like to continue the next course, however, I will have to continue it at another time.

創建者 Kingsley B

Aug 07, 2019

Wonderful Course related to Marketing Analytics primarily focusing on Customer. Great Learning Experience and useful examples are shared.

創建者 Olasehinde A E

Jul 10, 2020

This course is awesome! I really enjoyed the course and learnt alot in business analyst in application to marketing.

Thanks to Coursera!

創建者 Dr R W M

May 25, 2020

Invaluable knowledge and approach. I wish I had taken the course earlier in my career in education and administration in public schools.

創建者 Katie

Jun 15, 2018

Very useful overview of the data analytics for marketing and how they can be applied. Showed how better data can lead to better science.

創建者 Miral P

Apr 09, 2017

Well structured course. Very well explained. The course gives very good insight about how customer analytics is used in decision making.

創建者 Rajesh S

Jan 15, 2017

This course has helped me understand customer analytics. Thanks to all and faculity members who created this course with passion.

Rajesh

創建者 Shirley S

Dec 29, 2016

Great course! I found it very helpful even though I don't work in marketing. Great course if you are interested in business analytics.

創建者 Mayur B R

Aug 15, 2019

The presentations as well as the extra study material provided was extremely informative. I'm highly satisfied with the course content.

創建者 Joseph F

Dec 24, 2018

very interesting and I learned a lot in which I hope to use professionally. Thank you so much for the opportunity to take this course.

創建者 Asif G

Aug 30, 2018

This is an excellent course for understanding and appreciating the field of customer analytics through a plethora of real life examples

創建者 AMEYA P

Jun 16, 2018

a very good course to know and have a better understanding about customer analytics with clear and simple language with impact examples

創建者 Nilesh P

Apr 16, 2016

This course was best as they have given a real life examples to understand the concept. And many company names are got to know. Thanks.