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Customer Analytics

Business Analytics,

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

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Rating 2.8 based on 17 ratings
Length 6 weeks
Effort 4 weeks of study, 5-6 hours/week
Starts Dec 14 (5 weeks ago)
Cost $99
From University of Pennsylvania via Coursera
Instructors Eric Bradlow, Peter Fader, Raghu Iyengar, Ron Berman
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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What people are saying

make visualizing certain concepts

Concepts were breezed over very quickly without sufficient explanation, a whole stretch of lectures seemed like spontaneous off-the-cuff talk without real planning, and there was insufficient supportive material like diagrams, charts, to make visualizing certain concepts more easy.

about throwing away money

Don't even think about throwing away money on certificate.

no practical analytical examples

Though there's enough here that you could find application of the theory on your own, no practical analytical examples are given, nor any technical understanding of analysis given.

off-the-cuff talk without real

quickly without sufficient explanation

reasons 1- the introduction

I did not like the course for two reasons 1- The introduction of descriptive,predictive and prescriptive analytics was mixed with marketing so the amount of time that could be dedicated to marketing was dedicated to introducing analytics.

try using common sense

On most of the quizzes for this course I passed them on that first try using common sense.

provides an overall solid

Provides an overall solid understanding of the use of analytics in business, marketing, HR and operations Not a bad course, which gives the basics of Marketing analysis, with all the most important metrics, and also demonstration of some really profound tools.

concepts were breezed

too little content

Too little content and engagement.

lecture videos despite

Do not expect any quantitative material in the lecture videos despite the "analytics" in its title.

pure management track

This would be a useful course for an individual on a pure management track, in understanding the results of an analyst, but not for technical analysts.

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

BUSINESS ANALYTICS SPECIALIST - ENTERPRISE ANALYTICS $53k

Senior Customer Analytics Analyst $64k

Strategic Insights & Analytics - Customer Insights Analyst $76k

Analyst for Personal and Card Customer Analytics, U.S. $78k

Global Analytics $89k

V.P. Analytics $89k

Business Analytics & Advanced Analytics $90k

Senior Analyst, Customer Analytics $97k

Services Customer Experience Analytics Program Manager $107k

Product Analytics $116k

Senior Manager - Marketing Analytics (Customer Contact Strategy) $134k

Analyst, Insights Partner - Global Customer Insights & Analytics $144k

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Rating 2.8 based on 17 ratings
Length 6 weeks
Effort 4 weeks of study, 5-6 hours/week
Starts Dec 14 (5 weeks ago)
Cost $99
From University of Pennsylvania via Coursera
Instructors Eric Bradlow, Peter Fader, Raghu Iyengar, Ron Berman
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Business
Tags Data Science Data Analysis Business Business Strategy

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