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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

4.5
6,932 個評分
1,473 個審閱

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!

AV

Sep 11, 2016

I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.

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1376 - 消费者分析 的 1400 個評論(共 1,415 個)

創建者 Gladys L

Dec 26, 2016

Compared to Operations Analytics class, this class does not provide as much applicable skills.

創建者 sebastien k

Sep 26, 2017

Good introduction to get an helicopter view on the topic.

Lacking of hands on exercises and explanation of more advanced concepts.

創建者 Lukas F

May 19, 2017

This course gives you an overview of customer analytics on a very basic level, however, sometimes too basic, even on a highschool niveau. For a paid service I expect the text to be tipo-free and the questions unambiguous. Some of the answers only consider the information just given in the video but not the big picture, therefore, they simply wrong.

創建者 Grant I

May 02, 2017

The course provided some useful insights into methods of statistically measuring customer value, however, they only provide you with the spreadsheets to input data without really ensuring you understand the und

創建者 Adrienne A

Nov 12, 2016

Week 5 with Professor Bradlow is fantastic! More real-world examples and sample data sets to actually experiment with the concepts covered in this class would be welcome enhancements.

創建者 Varun R

Feb 17, 2017

Some really good weeks (Predictive Analytics and Case Studies) and some really bad weeks (Descriptive Analytics - surveys is not Descriptive Analytics and Prescriptive Analytics - which talks of marginal economics more than Analytics)

創建者 Matt S

May 25, 2016

It's not that it's bad – the sections with Peter Fader are interesting and the supplementary reading is interesting – but the level is very introductory and the content is uneven in quality.

創建者 Zivile M

Jan 29, 2016

The scope of the course is extremely limited. One could sit down and watch all 5 weeks' worth of lectures in one go. I would expect a lot more depth from something that is called a course. This is one good lecture at best.

創建者 Manoj K j

Aug 06, 2016

I was expecting some models will be designed and solved in the class sessions. But the lectures contain only theories.

創建者 Perry P

Oct 10, 2015

Its honestly just a primer i learned no statistical modelling or how to program or how to obtain such data (data mine?).

I guess for a primer its good but application wise is meh

創建者 titus l

Feb 20, 2016

It is however a real eye opener to see the applications of customer analytics. However, I do wish there was more time to understand the statistics and the math behind the modelling. This course tells you the potential, but doesn't delve into the treatment of data. Also there is insufficient case studies and practice questions unlike the operations analytics module so it was difficult to get a handle of concepts without application.

創建者 Cackowska D

Feb 11, 2017

it was quite difficult to follow , due the language barrier and it was only overview , they could gave a bit more informa

創建者 James S

Nov 01, 2015

Although the content was very interesting and the basic concepts were good to know, the student doesn't ultimately gain any tools that they use upon exit of the course.

創建者 Stefano

May 23, 2016

For the price paid I would expect something more... It gives you an idea and show you examples. Good background course in order to show your interest in the subject. It could have been organized in a different way in order to make tinteractive and

創建者 Ananth V B

Feb 09, 2017

Lots of theory and concepts, but little in the way of how to solve customer analytics problems yourself.

創建者 Robert

Sep 03, 2018

Experienced it as 1, a lots of quantitative statistics, 2, focused on B2C. None of these really apply to either me nor the company, so most contents will not apply.

創建者 Svetlana K

Sep 22, 2018

Outdated slides and lectures

創建者 Daniel A

Oct 24, 2019

It did not satisfy my thirst for knowledge on this topic

創建者 Priyank A

Jan 21, 2019

Not the course's fault but maybe when I hear the name "Wharton School" I over-expect.

However professors have done a very good job in keeping the course interactive, especially the Mary and Sharmila example.

創建者 Efe E

Feb 09, 2019

I would like to hear more about models especialy predictive one but all the things about models are bullshit. They generaly talk about demand curve which is a lesson of a economics more than customer analytics. They should choose more appropriate example. Moreover, I expect to see at least the type of models and where it is used generally. It was a waste of time. That's why I am not gonna take other modules. Adios !

創建者 Jigisha T

Dec 22, 2018

Too theoretical. I expected that the trainers will use actual datasets and carry out some analytics. It was just theory of data collection, little bit of economics and marketing.

創建者 Manikandan R

Aug 23, 2017

Content is mediocre

創建者 Juan S W

Apr 08, 2017

The fifth week course is interesting since the teacher provided lots of real world cases. However, other courses are too easy.

創建者 Harish M

Mar 24, 2016

unstructured!!

創建者 Tony

Sep 23, 2017

Too simple