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Customer Analytics, University of Pennsylvania

4.5
Оценки: 5,141
Рецензии: 1,146

Об этом курсе

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...

Лучшие рецензии

автор: 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.

автор: SS

Nov 15, 2016

Amazing course for even beginners in the field of customer analytics. Highly recommend to do this course for enhancing the analytical skills. Examples and case studies explains the concept very well.

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Рецензии: 1,091

автор: Kevin Becker

Dec 14, 2018

very high level and entry information. useful for overall entry into customer analytics but would like deeper dive into CLV and probabilistic predictive modelling.

автор: Christian Alberto Molfa

Dec 14, 2018

Me pareció muy interesante la informacion, la teoria y los metodos de analisis de clientes.

автор:

Dec 13, 2018

This course was beyond my expectations . The content was bang on and the types of examples used for analyzing customer service were up to date and relevant

автор: Christiane Machado

Dec 13, 2018

Excelent material - good path

автор: Amenze Emma-Iyamu

Dec 12, 2018

The course provides awesome insight into the world of Customer Analytics.

автор: Sanket Patil

Dec 12, 2018

lengthy course material

автор: 阮心宇

Dec 12, 2018

a very impressive course

автор: Ashutosh

Dec 09, 2018

its a great course to start with

автор: Sourabh Ajit Kamble

Dec 07, 2018

Wonderful Course

автор: Shailesh Pandey

Dec 04, 2018

Very informative course,Well explained