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返回到 消费者分析

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
10,980 個評分
2,400 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...

熱門審閱

MA

2020年8月4日

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.

ND

2019年1月30日

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!

篩選依據:

2201 - 消费者分析 的 2225 個評論(共 2,353 個)

創建者 Borisov P

2016年8月30日

I think we could jump in theory a bit faster, week 1 and 2 are basically introductory.

創建者 Pedro H d M H

2016年5月5日

The first week is the only one that is really worthy. The others are too superficial.

創建者 Gagan M

2015年12月3日

Exercises were fine, but some more detailed reference material would have been great.

創建者 Ahmed M

2019年11月24日

i believe with more recent and new case studies on the tech-companies would be great

創建者 Osman C

2017年10月30日

Me gustaría ver más ejercicios numéricos, para poder aplicarlos en nuestros trabaj

創建者 Ebad A

2019年9月24日

Overall a good course but I felt that parts of it were too theoretical and long.

創建者 Abhinav A

2017年11月9日

Focuses more on what is there in Customer analytics than how is analytics done.

創建者 Anuradha G

2022年8月7日

Some of the models and statistics should have been given in depth explanation.

創建者 Erika C

2020年8月28日

Good theory, zero practice or info on how to build, run regression or models.

創建者 Sandeep K

2021年10月25日

Too much theoritical and could have concentrated more on the regression part

創建者 Heidhee A V

2021年7月30日

I find week 5 topics most interesting as I learn actual application samples.

創建者 Ch F

2020年3月22日

Good overview course but some information is too topline & already outdated.

創建者 Yuduan L

2015年10月28日

The course structure is good. If there is more real cases, it would be good.

創建者 Raoul G

2015年10月13日

Very much bird eye view. Not a lot of detail. A lot of obvious statements.

創建者 Nicki R

2019年5月3日

Some parts were heavy in math, but without explanation. Otherwise, great!

創建者 PRABHAT K

2016年9月25日

Including a few calculations will help in understanding the core concepts

創建者 Daniel C

2015年10月29日

Some errors on video of prescriptive analytics. Not so practical course.

創建者 Anoop V

2016年5月22日

Expected to do some hands-on exercises on data sets to derive insights.

創建者 Anubhav S

2020年4月18日

The course could have given more insights on the current age examples.

創建者 fallon c

2019年10月8日

It seemed very high level. No details, no formulas, no technical info.

創建者 Danyal R

2017年8月19日

Some lecture weren't up to the mark or it was difficult to understand.

創建者 VINODH K

2016年10月12日

practical example are need to visualize the current market situations

創建者 Maria G

2016年8月10日

El contenido del curso es interesante pero la participación es mínima

創建者 Krishna C

2016年1月4日

Course is good.But it would have been great with some data exercises.

創建者 Ravi K

2017年5月16日

It was full of theory. I am looking at propensity models application