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学生对 宾夕法尼亚大学 提供的 消费者分析 的评价和反馈

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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...



Aug 4, 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.


Jan 30, 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!


2326 - 消费者分析 的 2350 个评论(共 2,354 个)

创建者 Abdullah A D

Aug 30, 2020

It's hard to follow along, the instructor is mostly reading of slides and the level of teaching is of a low standard. The content is actually very good but its not put together well enough for a beginner in the field to capture the information.

创建者 Jarratt O

May 28, 2020

audio is bad. takes too long to move from the fluff and abstract to anything concrete. week 3 has A HUGE gap between lectures and quizzes. showed some interesting concepts but doesnt tell us how we can get there and thus take data for granted

创建者 Emerson A

Nov 30, 2020

Sorry but as I started I can't keep up the pace of 1 week talking. The first instructor talks soo fast and the presentation is not really clear..I have full admiration for those you are able to get what he is talking about.

创建者 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.

创建者 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.

创建者 Francisco A V P

Oct 2, 2016

It's not a course for a university like Wharton. It's more professors showing their books and research without really showing any deep information.

创建者 Alejandro S

Sep 22, 2015

Very high-level introduction, no new insights for a data analyst and "newbies" will probably drown in the "danger zone" due to the lack of details.

创建者 Jainik S

Apr 27, 2021

Very very basic information on customer analytics. Don't waste your time and money on this. Very disappointed, did not expect this from Wharton.

创建者 Utkarsh

Jul 23, 2016

very broad level discussion . Doesn't tech you anything specific or skills that can be transferred to real world problems. Theoretical !!

创建者 Meir K

Nov 15, 2015

The exam questions are a little out there... dont indicate retention of knowledge. Quite frustrating, I'll be dropping this course.

创建者 Juan S W

Apr 8, 2017

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

创建者 Deborah H

Jan 14, 2016

Talking heads - did not take advantage of the software to provide an engaging or challenging course. No depth to the material

创建者 Sheryar P

Mar 28, 2016

The Capstone project has been getting delayed since Jan

Dont expect yourself to complete the specialization

创建者 Chieh Y

Apr 3, 2016

Very disappointed!

This course does not provide sufficient explanation and the materials are very basic.

创建者 Ahmad F

Jan 31, 2020

Very basic, no quantitative analysis, use of graphs or case studies. very poor course.

创建者 sayaka t

Dec 5, 2015

Lecture quality hugely varies depending on lectures. P.Feder is not recommended.

创建者 Johann Q

Sep 23, 2015

Boring lectures. No practice problems, no cases, no projects, no scenarios.

创建者 David K

Jan 8, 2016

Very basic course more appropriate for a high school level

创建者 Eren D

Mar 9, 2022

it wants to upgrade Coursera Plus to finish the course!!

创建者 Rios A

Oct 22, 2018

I don t like this course. Really not helpful and empty

创建者 Anchit R

May 17, 2020

The terminology is a bit difficult to understand

创建者 Vanessa A

May 23, 2021

Too vague and general. Not worth the money.

创建者 Atanu R

Sep 8, 2018

Other than Mr. Raghu, this course is trash

创建者 Deleted A

May 26, 2022

​This is not where I want to be.

创建者 hassan m

Aug 17, 2020

the accent gets on my nerve