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Вернуться к Анализ потребительского поведения

Анализ потребительского поведения, Пенсильванский университет

4.5
Оценки: 5,509
Рецензии: 1,207

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: 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!

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: 1,154

автор: Rahul Mundra

Feb 18, 2019

AMazing COurse

автор: Sharon Kelley

Feb 18, 2019

Excellent information. The information is taught that is easy to understand and apply to business operations.

автор: Muhammad Umar Habib

Feb 17, 2019

Technical skills should be added to this curricula.

автор: Andrea Mariani

Feb 17, 2019

Great insight to understand how analytics is getting more and more important in marketing management

автор: Nguyen Ngoc TU

Feb 16, 2019

Highly recommended to those are busy and want to learn new great thing on Business Analytics, Customer Analytics!

автор: DOROTHY SHAW

Feb 15, 2019

Great course

автор: Rakshit Kumar Singh

Feb 13, 2019

the mentors are all good but they are too fast with their lessons.

автор: Mithun

Feb 13, 2019

The questions have not be revised for correctness. Professor. Fader's quiz questions were hard to understand especially when negative connotations were used in the sentence 'not a beta....' OR ' not favor a probability....' . These questions threw me off so please rectify the quizzes here and in the future quizzes for my time & benefit as well as for the rest of the students. You do not have to make the questions easy but I do not want to spend time thinking of your underlying meaning but would rather put thought in solving for something other than English. Please have these quizzes re-read.

автор: Xinwei Luo

Feb 12, 2019

I got a broad view of basic business analytics, which is great. But some of the quiz is not that relevant to the lectures. I was confused by some of them. But for the overall course, not bad.

автор: Andres Najera

Feb 11, 2019

Pretty basic, so super helpful for people we are new at it.