Chevron Left
返回到 消费者分析

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
9,681 个评分
2,148 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

MA
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.

ND
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!

筛选依据:

1976 - 消费者分析 的 2000 个评论(共 2,087 个)

创建者 abdul b

Mar 8, 2016

Can be improved, predictive analytic s section was missing details

创建者 Richard T

Jan 8, 2016

Good introduction to analytics. Short. Not particularly demanding.

创建者 Shankar S

May 24, 2020

Very basic. But pretty decent for an introduction into the topic.

创建者 Ricardo S

Oct 11, 2015

It will be better to have some data to practice on regressions!!

创建者 Alejandro S

May 7, 2019

Outdated information, but still learned data analytic insights.

创建者 Erica C M

Feb 25, 2018

I belive it was too basic and superficial on analytics matters.

创建者 Astha A

May 2, 2020

Some coonection or flow was missing! I expected a lit more!!!1

创建者 sakshi l

Apr 26, 2018

Need practical knowledge on how to use models for prediction

创建者 Juhong P

Jan 1, 2020

It is more difficult than I thought. Really helpful though.

创建者 张婧仪

Mar 4, 2018

Too much information that is not integrated nor systematic.

创建者 robert k

Feb 7, 2016

Basic review for those with some familiarity on the topic.

创建者 Ankit K A

May 18, 2018

Could have been more detailed into mathematics and models

创建者 Niv U

Oct 9, 2015

More hands-on experience would make this course better.

创建者 Sonal A

May 27, 2020

some of the parts were extremely unclear rest was good

创建者 Vainathayamalan V

Jun 16, 2018

No Tests allowed for free is completely unacceptable

创建者 Jason G

Mar 17, 2016

Does not have very engaging material or assignments.

创建者 Celine X

Apr 10, 2016

need more specific tools instead of pure concepts.

创建者 Leonardo N A

Dec 5, 2015

I little to much superficial. But still usefull.

创建者 Shirley Z

Dec 17, 2019

The instructor is extremely dull to listen to

创建者 Denis G

Dec 16, 2015

There are not enough quantity of assignments.

创建者 Sukirtha S

Oct 14, 2020

Pretty outdated but still somewhat useful!

创建者 Alex A

Aug 18, 2020

Lectures are very dry and unengaging.

创建者 Brittany M

Mar 28, 2017

Lots of talking, not a lot of doing.

创建者 Terry-Ann L

Feb 21, 2016

I found this course difficult...

创建者 MUHAMMAD A S B A R

Dec 12, 2017

A good workout for my brain :)