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Customer Analytics, University of Pennsylvania

4.5
5,987 ratings
1,284 reviews

About this Course

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...

Top reviews

By 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!

By AA

Apr 06, 2017

Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.

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1,226 Reviews

By SANJAY KUMAR TIWARI

May 20, 2019

It was optimal enough with a lot of exploratory and descriptive data explored over causality with high prediction to lower churn rates of application.

By Ha Dinh

May 20, 2019

For someone who is new to this field and doesn't have a background in marketing, this course has helped me tremendously to understand the key concept of using data and models in making decision. Hopefully this new knowledge will become an advantage for enhancing my future career in data analytics.

By Anjan

May 19, 2019

great course methodology and content.

loved it.

By Ayrton Chavez

May 17, 2019

Great Content! Would be nice if we could get more of the technical material.

By Luong Chi Cuong

May 12, 2019

Good to know the advanced of customer analytic

By Atul Makam

May 12, 2019

Great content

By Jason Lee

May 10, 2019

Good intro to the course. Would like it if the course had more use cases or technical skills taught, just so we can use the knowledge learned in real life situations. But the overall course is great!

By Daliso Daka

May 10, 2019

Great course and really challenging. Thank you

By Alejandro Sierra

May 07, 2019

Outdated information, but still learned data analytic insights.

By Phumeza Gaba

May 07, 2019

Fantastic and informative