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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
7,054 個評分
1,506 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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1401 - 消费者分析 的 1425 個評論(共 1,445 個)

創建者 Micah R

Oct 31, 2015

Material is too introductory, barely skims the surface. It fails to dive into fundamental concepts beyond mere definitions, and the accompanying examples get bogged down in irrelevant details. The last section dealing with Application with Prof Bradlow is the only one that had some value, presenting a broad array of topics in an organized, simplified yet well-rounded manner.

創建者 Kayundria H W

Dec 04, 2015

The quiz questions are confusing and ambiguous.

The lectures are dry and static. Some video backgrounds are distracting (people traversing hallways and stairs).

Uninspiring to engage. Dated production.

創建者 Kaela W G

Nov 12, 2015

Gave theoretical information but no practical, applicable information to use and help me do my job better. Quizzes didn't match information covered in videos.

創建者 Shikhar V

Dec 09, 2015

Wasn't practical and I couldn't take away many learnings from this course. Would have liked some hands on real world problems to work on.

創建者 Prateek S

Oct 22, 2016

Not helpful just provides only some basic insights. Not expected such type of course content, it could be more enriched in the course content.

創建者 Pedro M

Jun 18, 2016

Great course, great content, I really like this course. But if English is not your first language, the exams are crafty enough to be in trouble...

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.