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Learner Reviews & Feedback for Customer Analytics by University of Pennsylvania

4.6
stars
11,849 ratings

About the 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

AA

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!

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1001 - 1025 of 2,527 Reviews for Customer Analytics

By Lindsey G

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Sep 15, 2018

Very interesting. The videos are broken up very nicely.

By Dipak B

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Aug 15, 2018

i wanted hands on experiment but i can do it myself now

By Reda B

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Jan 22, 2018

Excellent insights into the world of business analytics

By Cézar M

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Nov 13, 2016

Ótimo curso, bastante informações completas e concisas.

By mehmet s k

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Jan 12, 2016

As customer analytics professional, i like this course.

By Jeferson A R

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Jun 24, 2024

Excelente conteúdo e professores de primeira qualidade

By 9051 J B

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Mar 6, 2023

Excellent take on explaining about customer analytics.

By Yaoming L

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Jul 24, 2022

Brilliant. I like the teaching styles of the lecturers

By Medishetti S

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Oct 4, 2020

This course is very helpful for me.

Thanks to Coursera.

By Patrick Z

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Aug 17, 2020

awesome class arrangement and great professors btw!!!!

By Maxim K

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Jan 31, 2020

Excellent and very insightful course. Highly recommend

By anisha j

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Jan 20, 2020

A good introductory course in analyzing customer data.

By Freeman T

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Nov 15, 2017

Excellent course for someone new in Business Analytics

By Guclu O

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Nov 16, 2016

Excellent course. Excellent insights from Peter Fader.

By Bernard M

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Feb 23, 2016

Excellent intro to Customer Analytics. Wish there's mo

By Caesario I

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Aug 26, 2020

Opened my mind about what's happening around me daily

By Ayush T

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Oct 15, 2019

Thankyou best course to understand customer behavior

By Deborah I C C

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Apr 27, 2019

Interesting content, good teachers and good material.

By Nishant M

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Apr 13, 2019

Very helpful for the budding marketing professionals.

By Ricardo O L R

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Oct 6, 2018

Excellent course, we can improve our acknowledgement.

By Swapnil R

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May 18, 2017

Best for Beginners in the field of Business Analytics

By Howard S

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Jan 29, 2017

Excellent course, and i would recommend it to anyone.

By Karthik K

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Nov 19, 2016

Very well explained, detailed and clear. Great work!!

By Anggello C

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Mar 21, 2021

a very dynamic, practical and well structured course

By Diego F P

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Dec 15, 2020

Beautiful scientific approach to Customer Analytics.