Right now, I'm working on how to apply this to our company which is a re-seller of mostly corporate needs such as laptops, switches, routers down to the office supplies needed using telemarketing method of sales. With a family-run management, it is difficult to get the management on board about the benefits of data gathering and data exploration as of the moment but I hope to present a way so I could let them see the benefits of data analytics

Content is excellent and the most important aspect, the teacher, was exactly what you want. What do I mean? Well, we’ve all had the terrible teacher who reads from the slide in a monotone voice. This course has none of that. All the presenters move, use gestures, tone, and inflection. I found it very easy to stay engaged. I am simultaneously taking another course that is extremely boring and the contrast is very apparent. Highly recommend.

In-depth course taught by leading individuals in their industries, which garnered valuable insights into the customer analytics sphere. Lecture had a classroom feel to it, which made learning familiar and easy to follow with the slides and lecturing styles. The tests at the end of each module was challenging, but was highly relevant to what you were learning. Would recommend this course to anyone wanting to learn about customer analytics.

Although this is my first course with Coursera, But this the best online course I have ever taken, Not only the faculties are great, But also their passion for the subject is very contagious( makes a student equally passionate), Loads of thanks to coursera for the extremely user-friendly interface of their website and making this excellent course accesible. I would definitely recommend Coursera to anyone looking to upskill themselves.

Many thanks to Mr. Raghu Iyengar & Coursera for course 1 "Customer Analytics", which is one of five courses of 🧶Business Analytics Specialization by the University of Pennsylvania. The online course provides 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.

It is a great course if you want to learn how to prepare your mind in order to think better regaring customer anaytics cases. I just would like to find a better support documents, since right now you only can download the slides of the course and that means that you need to take notes rather than just to re-read some concept, or go playback the video if you want to get the complete information of the topic you are interested in.

Topic coverage was very good for a month period. The only thing with online, I am not able to ask questions in real time. I wish there was a TA if professor is unavailable for questions. Discussion forum is fine however if you post your question, you are not certain you will get an answer from your peers, or if answers are correct.

Enjoyed the course. Will continue with the next module for the Specialization completion.

I came with the expectations to have more "models" (some coding or some excel instruction or something I can apply directly), but like Peter said, this course will introduce me more tools in the toolbox and I am looking in the wrong place if I want to "code" or model. It was not what I expected at first, but with a few adjustments, I found this course really beneficial and helpful, especially if you are a business owner.

Outstanding. I am currently enrolled in an EMBA program and much of marketing has been based on very old cases, although educational for the purposes of figuring out the foundations of segmentation and break even they did not touch on the new ways of analyzing customer behavior today. I plan on continuing with Wharton for future specialization courses. I wanted to thank all the Professors for their superb lessons.

What an awesome course. It explains customer analytics from beginning to the end with some analytics application examples. It explains different methods each week that built up on top of the previous weeks, so you can easily follow the materials and lectures. I really learned a lot from just this first course of business analytics. I really look forward to next courses in this business analytics specialization.

it is a good and excited online class to help me, who haven't any experience in data analytics, to know some relation between business and data analytics. And the most important thing is that it also introduce to me on how those big firms had use that kinds of models to solve actual problems.

Hope that Wharton online school will have more new classes on deeper content in this field.

Thanks to all of you!

Insightful information and those best practice business cases gave me a much deeper understanding of customer analytics. I have learnt a lot from this course which I truly believe that I can utilise them in my daily work. The quiz (some are quite difficult) really helped me to understand further of each topic. Highly recommend this course to who are interested in customer analytics or marketing analytics.

I whole heartedly recommend this course to those interested in customer analytics from a business perspective. The course does not intend to go into the technical or statistical perspective, and this is clearly stated numerous times. I was ready to give this course 4 stars after finishing the first four weeks, but the last week is where I decided to rate this course 5 stars. Well done, Wharton Marketing!

This course, coming from a highly reputed institution (Wharton) fills a long-standing gap in Data Science/Analytics courses, either online or in-person. While this is the first version and will get refined and improved, one can immediately sense the thought and the effort that has gone into such a course. Making it part of a specialization is perfect. Extremely laudable and highly recommended!

Absolutely fantastic! The course provides the most important knowledge every business leader needs to make a significant impact, the course provides a broad vision & importance of customer analytics. We internalize why customer center companies are so successful in Market Place. The Data, the approach, the models, journey of Analytics maturity, tools, implementation, ROI, and great examples.

An excellent course for beginners or some knowledge of business analytics. All instructors provided clear, compelling lectures highlighting theoretical and methodological frameworks and useful examples. Quizzes were well designed and good for consolidating and applying knowledge acquired in the courses. Most of the reading was well-chosen and deepened my understanding of the course topics.

The course is a holistic package for your entry into customer analytics. Unlike other lectures, this course provides you with the latest information and teaches you practices that are currently in use. One of my favorite parts of the course is the week 5 module which gives you the application of customer analytics in the real world and overall this course added a great deal to my arsenal.

This course provides a lot of insightful knowledge about tools and models for customer analytics, as well as their applications in real companies. Really interesting examples so users with no background in Marketing still can easily understand. The professors are truly inspiring and awesome! 100% recommend to anyone who is interested data analytics, especially in Marketing and Business.

It's a good course to have a basic understanding of customer analytics and its applications in real time. The examples were very good and wisely chosen. Will be more happier if I got to know the working model of predictive example, that how to reach to those numbers in examples of Bob, Sharmila etc.The excel sheet was not pretty clear. Else it was a nice exposure to the analytics field.

The course is excellent...All the professors are very impressive..Though i have been working in the area of customer analytics, i was not aware of many aspects of customer analytics that were taught in the course. I'm taking away a whole new perspective of customer analytics that i can apply with my clients.

An extension of the course with hands on exercises would be extremely valuable.

This course gave me a broad understanding of what Customer Analytics is. Loved the way the course was broken down into 5 modules, where each module covered 1 out of the 5 main principles of customer analytics. Loved the case studies and applications and changed the way I think about data and customer behavior. Looking forward to taking up more Business Analytics courses in the future.

This a simple yet comprehensive course on data analysis. Helped me clear out my basics. Although had trouble understand a few modules in the predictive modules lecture, but I guess I just didn't read up enough. I recommend this course for everyone whether you're related to this field or not. It's always good to know how to use data to better your life, be it professional or personal.

Beyond expectation. I had not thought online course could be so delighful. Professor Fader's lively lecture was entertaining yet insightful concept. I learned of the way to model future not only through linear regression but also model buy/not buy decision through 2 independent time invariant random process. The detail and rigor of this course construct is really very impressive.

As a student with a background in Accounting and Economics, I have more appreciation of data analytics caused by the completion of this course. This Customer Analytics course does have a focus on marketing as a science and a very statistical discipline however, the methodologies and principles taught by the professor can have impactful applications in other fields of business.

Coming from a research background in a different field within psychology (early childhood), this course has opened me up to empirical perspectives of how operationalisation of real-time experiences can take place in the psychological field of business and marketing. A great course for those on a lookout for gaining comfort with usual terms and knowledge in neighbouring fields.