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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

4.6
9,154 个评分
2,005 条评论

课程概述

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...

热门审阅

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.

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1876 - 消费者分析 的 1900 个评论(共 1,944 个)

创建者 Kayla S

May 20, 2020

This was an incredibly weak first course in the Specialization. It does lay necessary groundwork, but there are frustrations to be found. Lectures often do not clearly cover or even completely neglect to cover content found in the quizzes. One professor in particular seems to make it a point of pride that he has elected to create a quiz that requires an understanding of the topics beyond what he is willing to be provide. There is little to no interactivity with the concepts covered, which is a big disappointment. This course seems to primarily be an introduction to using data to better understand your customers; to that point, it would have been helpful to start the course off with a case study. As new concepts are introduced, they could be tied back to the study to better demonstrate where we use descriptive, predictive, and prescriptive analytics and how their outcomes might further guide our research. For anyone turned off to the Specialization by the underwhelming and often frustrating content of this course: keep going. I continued with Operations Analytics, which is much more hands-on and overall more rewarding. It seems to get better.

创建者 Muhammad A

Apr 12, 2020

Course fails to go into any actual real-world 'customer analytics'. The focus is very high-level and just theoretical while analysis is limited to basic statistics applied in Excel (which much explanation). For context, the course talks about regression analysis but fails to explain what regression is, but just shows you how to create a regression line in Excel.

Course felt more like how to use Excel rather than diving into Customer Analytics.

创建者 Kaweerat P

Jun 21, 2020

On a good side, this course the essential understanding of Customer Analytics and in week 5, there's some interesting examples of how advance marketing analytics help businesses. But on the worse part, this course only provides the basic ideas - too broad. Most contents are solely based on examples each lecturer thinks of. It would be great if there's a case study or a data set sample for students to analyze and come up with recommendations.

创建者 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.

创建者 Alex S

Feb 25, 2017

Unlike the other three business analytics courses I completed, I thought this one was light on content, and lacking adequate coverage of concrete tools (formulas, software programs, etc.). In addition, the quiz questions for weeks 4 and 5 seemed to come out of left field, as if they had been prepared for a longer, more comprehensive course; not based on the small amount of material presented.

创建者 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.

创建者 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.

创建者 Avazeh G

May 12, 2020

The course is more than 4 years old! One week out of 4 was really badly presented, the quize is irrelevant to the material presented in that week. Perhaps it is expected from a marketing professor to over-promise and under deliver but I'm disappointed. The other 3 weeks were quit good to build a foundation but still the course is out of date

创建者 Kartik K

Jun 17, 2020

Takeaways:

The course structure is undoubtedly good. The given pattern is appropriate, and easy to follow.

Some audio issues persist in a couple videos. There is no feedback provided. One won't be able to check, "assess" and recheck his/ her performance in any, any of the quizzes.

Regards.

创建者 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

创建者 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)

创建者 Benjamin B

Nov 05, 2015

This course doesn't go enough in detail concerning the different customer analytics methods. The last part on applications focuses too much on what was going on in marketing in the past and doesn't address digital marketing enough.

创建者 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.

创建者 Mike M

Jun 19, 2020

The mode of assessments very often did not tally with the delivered content. Some of it was very long with a lot of points that were not even used in the assessments but instead aspects not well addressed used.

创建者 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

创建者 Eva M

Mar 05, 2020

The level of questions on the quizzes week 3-5 does not match the level of the lectures and the "reading material" are just slides. Please provide additional reading materials, the videos are not enough.

创建者 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.

创建者 Dmitry D

Jul 22, 2020

very topline and maybe too generic if you are looking for some practical and hands-on course on analytics. Customer analytics approach concept is fine, but nothing new and not really actionable.

创建者 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.

创建者 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.

创建者 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

创建者 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.

创建者 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.

创建者 Katelyn J

Oct 09, 2015

Interesting assortment of professors but very little interaction in the course. Just 4 quizzes. Not very helpful for building a deep understanding of the material.

创建者 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.