Chevron Left
返回到 消费者分析

學生對 宾夕法尼亚大学 提供的 消费者分析 的評價和反饋

10,855 個評分
2,368 條評論


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...




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!



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.


2276 - 消费者分析 的 2300 個評論(共 2,322 個)

創建者 Hussein M


the course is introduction and it's not deep , i felt bored actually plus i was afraid form the Indian professor

創建者 Ananth V B


Lots of theory and concepts, but little in the way of how to solve customer analytics problems yourself.

創建者 Hugo S C


The material is very superficial and there is not much practice; all quizzes are conceptual only.

創建者 Gladys L


Compared to Operations Analytics class, this class does not provide as much applicable skills.

創建者 Noel F


Very high level course, interesting as a background but doesn't really deep dive in any topic.

創建者 Harsh P


Need some practical application assignments instead of a quiz!

創建者 Ian L


Outdated, and very few applicable lessons on today's market.

創建者 Semen G


Субтитры не работают, тесты в любом случае на английском

創建者 Daniel A


It did not satisfy my thirst for knowledge on this topic

創建者 Vyacheslav Z


Too basic. Rather an overview, than an actual course

創建者 Maria K


Maybe could be more extensive and profound

創建者 Jonathan Z


Almost no practical application

創建者 Timothy D


Not enough real world examples

創建者 Svetlana K


Outdated slides and lectures

創建者 J R



創建者 Jesus V


The examination at the very end of every week must be taken once and you can retake it after 24 hrs, the questions must be different everytime you repaet it, add additional choices like instead of 5 choices make it 10, or use the Choose which all that applies principle. By making it rig free you are giving credibility to the exam and the test takers itself. The reason why on line course are not taken seriously is just because you can rig the result of the exam by keep on repeating taking it and memorizing the choices in the questions. YOU HAVE TO RESTRATEGIZE HOW NOT TO RIG THE EXAM so that it has credibilty and taken seriously.

創建者 Diane M


Poorly designed. The lectures just consist of people talking to the camera with little visual aids. There aren't any materials to read over or study. The transcripts of the videos come in a .txt file... On the whole, really not at all the caliber I would have wanted to see from Wharton. If I had paid for this course, I would be really frustrated.

創建者 Anas M


Quiz questions were not clear. Content was subpar for a "top" university. It seems like this was nothing more than a haphazardly put together course to make money and nothing more. This course felt like a complete waste of time and I believe the concepts and material in the modules are outdated.

創建者 Jiang T


In fact, i think this course is waste my time because the course only have lecture. They don't tell you how to use software to solve the problem even do not give any practical homework. Compared to other course, the quality of this course is extremely low.

創建者 Abdullah A D


It's hard to follow along, the instructor is mostly reading of slides and the level of teaching is of a low standard. The content is actually very good but its not put together well enough for a beginner in the field to capture the information.

創建者 Jarratt O


audio is bad. takes too long to move from the fluff and abstract to anything concrete. week 3 has A HUGE gap between lectures and quizzes. showed some interesting concepts but doesnt tell us how we can get there and thus take data for granted

創建者 Emerson A


Sorry but as I started I can't keep up the pace of 1 week talking. The first instructor talks soo fast and the presentation is not really clear..I have full admiration for those you are able to get what he is talking about.

創建者 priyank a


Not the course's fault but maybe when I hear the name "Wharton School" I over-expect.

However professors have done a very good job in keeping the course interactive, especially the Mary and Sharmila example.

創建者 Jigisha T


Too theoretical. I expected that the trainers will use actual datasets and carry out some analytics. It was just theory of data collection, little bit of economics and marketing.

創建者 Francisco A V P


It's not a course for a university like Wharton. It's more professors showing their books and research without really showing any deep information.