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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
9,117 個評分
1,994 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...

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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!

AA

Apr 06, 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

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1401 - 消费者分析 的 1425 個評論(共 1,939 個)

創建者 Rahadul I F

Apr 19, 2020

This is giving a basic foundation about customer analytics. They have teach what are the tools to use for customer analytics but not in a technical way.

創建者 Kevin C

Feb 02, 2020

Great high-level overview! Would like a little more detail on some of the mathematical calculations that should be employed, but otherwise great info!

創建者 Ayaz W

Apr 19, 2018

A good starter course to understand about what to look for when looking at customer analytics and who to target and what to expect from actions taken.

創建者 David J

Feb 08, 2019

some of the material around attribution is clearly outdated to current market offerings. the content needs a refresh, has antiquated references too.

創建者 Gourab N

Oct 18, 2015

The course gives very good business ideas driven by analytics. However it would be great if the course could have been more practical/data oriented.

創建者 Peter W

May 27, 2020

Very informative, but would not pay a penny for this course. Wharton is holding on materials and only giving out very brief introductory knowledge.

創建者 Ahmed M E

Apr 03, 2018

I think it need more practical parts, the tools that can be used along with the techniques and best practices.

But the over all thing was very good.

創建者 Jewel A R

Apr 21, 2020

Some of the key information are outdated already, like the marketing strategies being used by different companies in the last part of the course.

創建者 PARIJAT G

Oct 24, 2019

Could had been more detailed with a few models examples for determining customer value and examples of data predictions and prescriptive actions

創建者 Midhun C

Jul 08, 2019

Good to get an overview about the current ongoing trend in customer analytics. Helps the learners get comfortable with the language of analytics

創建者 Robert P

Dec 11, 2016

Really good overall, but week 4 was very weak compared to the other four. Less engaging, very basic, and didn't add anywhere near as much value.

創建者 AKHIL P S

Mar 03, 2020

It was a really nice learning experience there was a lot to listing too but kind of came to know more about how a customer is analysed online

創建者 Kingsley A

Jan 28, 2019

A really insightful gaze into the world of analytics. This is a real career opportunity for me and I'm glad I managed to take this first step.

創建者 PRATIBHA M

Jan 07, 2016

A solution set to all the questions or at least the question not answered correctly in quiz with explanation would help improve understanding,

創建者 Elango E

May 02, 2020

Very informative. But I wish it was a bit more detailed and specific on the type of tools. And helped us derives calculations using the tools

創建者 Casey S

Jun 18, 2017

Some of the information on the tests was difficult to extract from the course and there are still a few questions I don't know the answer to.

創建者 Casper B

Feb 24, 2016

Good course and good introduction, lacking some more specific analysis tools if you only take this course instead of the whole specialization

創建者 Abdul

Apr 21, 2020

I'd have preferred if it had a touch of practical/calculative aspect to it. Otherwise from theoretical point of view, the course was great!!

創建者 Ashley A W

Jul 20, 2018

A few more real life examples on how to use the formulas would have been helpful. Some questions in the quizzes were not covered. Otherwise,

創建者 Ryan

Aug 24, 2016

Great course as it provides a great set of examples of use-cases. My only recommendation would be actual examples of some of the data sets.

創建者 Xavier Y

Jul 03, 2017

Excellent overview of basic customer analytics, reading materials provide food for thought and insights that were previously left unnoticed

創建者 Himanshu T

Apr 15, 2020

Brilliant course but it would be great if they go into much more depth. It is a great course who are just starting in the analytics phase.

創建者 Apassara S

Mar 22, 2020

As a law student, I would recommend you to teach by using slides in every class so the non-business students can follow the course easier.

創建者 Massimiliano M

Jan 05, 2017

If there were more examples and real calculations like in the other courses of the specialization, probably this course will be the best.

創建者 Mungi S

Aug 30, 2016

This course gives a very high level understanding on the customer analytics concepts. Predictive analytics covered here is total waste !