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Customer Analytics

Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-g...
4.6
4.6/5
(10,337 reviews)
217,359 students
Created by

8.9

CourseMarks Score®

N/A

Freshness

8.5

Feedback

8.8

Content

Platform: Coursera
Price: $0
Video: 5h 48m
Language: English

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Detailed Analysis

CourseMarks Score®

8.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

8.5 / 10
We analyzed factors such as the rating (4.6/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

8.8 / 10
Video Score: 8.4 / 10
The course includes 5h 48m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.1 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

10 articles.
0 resource.
0 exercise.
8 tests or quizzes.

Table of contents

Description

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

You will learn

Requirements

The course creator has not defined the requirements for this course.

This course is for

The course creator hasn’t defined the level of this course.

How much does the Customer Analytics course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

Does the Customer Analytics course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Eric Bradlow a SCAM or a TRUSTED instructor?

Eric Bradlow has created 1 courses that got 1,108 reviews which are generally positive. Eric Bradlow has taught 217359 students and received a 4.66 average review out of 1,108 reviews. Depending on the information available, Eric Bradlow is a TRUSTED instructor.
The Wharton School
University of Pennsylvania
Professor Eric T. Bradlow is the K.P. Chao Professor, Professor of Marketing, Statistics and Education, Vice-Dean and Director of Wharton Doctoral Programs, and Co-Director of the Wharton Customer Analytics Initiative. An applied statistician, Professor Bradlow uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems. Eric was recently named a fellow of the American Statistical Association, American Educational Research Association, is past chair of the American Statistical Association Section on Statistics in Marketing, past Editor-in-Chief of Marketing Science, is a past statistical fellow of Bell Labs, and worked at DuPont Corporation’s Corporate Marketing and Business Research Division and the Educational Testing Service.

8.9

CourseMarks Score®

N/A

Freshness

8.5

Feedback

8.8

Content

Platform: Coursera
Price: $0
Video: 5h 48m
Language: English

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