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.
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!
por Shailesh S•
Course is very useful, lots of key insights and knowledge shared by professors. The concepts are easy to understand. The models (the calculations behind) are a bit difficult to understand. I wish those were explained in one of the videos (instead of them being in reference/reading materials). Also, one or two practical examples (companies, businesses) showing end to end analytics (descriptive, predictive and prescriptive) as to the findings and actions from each would have made it even better. In any case, overall, highly recommended for those interested in understanding customer centricity analytics.
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.
por M A S•
It is a great course and even though I have a decent amount of knowledge in marketing, I was still able to learn new concepts and new ways of applying the concepts in order to gain more customers.
The course could be even better if there were small practice quizzes after each video as it will help to reinforce the concepts in the minds of the students and also I personally believe that the course should be slightly rearranged and restructured in such a way that there should be at least one case study video related to the main subject matter for each of the first 4 weeks.
por Lassata S•
I think at the end of Week 5, Prof Bradlow gave very interesting insights on the past & future methods of marketing analytics. Great explanation and inspired me to learn more about the technicalities of customer analytics. This course is a great beginner course because most of the modules only gave introduction on all the types and steps of customer analytics (like general explanation on descriptive, predictive & prescriptive analytics). I was hoping it would get a bit more technical into the data but I still gained few important insights regardless. Thank you.
por Aji A•
The course is well structured. In order to grasp things better, learners should note down the important points so that you can refer it in the future. Quizzes in-between each module are sometimes confusing, but there is always a chance to improve your scores, that is the best part. Some lecture videos are lengthy, which sometimes leads to boredom. I suggest learners to take small breaks in-between lectures and then go ahead with the rest of the part. Thanking you Coursera for empowering students to learn new skills with the help of your non-credit courses.
por Diogo G M•
The course is very informative, concise, and most of the teachers are truly passionate about what they are talking about. The examples are amazing and very good depictions of the reality. It is also interesting that these examples are broad and cover different markets.
However, it would be great if the level of english of some of the teachers would be more understandable to International students. Most importantly, it would be great if some of the quizzes were reviewed by Native English speakers. Some questions have to be inferred and not understood.
por Anupama P V•
Great content with both the marketing theory aspects and the practical mathematical computations. The quizzes were challenging at an intermediate level, and really made us think about the hows and whys of the topics covered in the videos. The professors are all very enthusiastic (esp. Prof Fader) about the topic and this makes the videos extremely engaging. Only downside was that it would have been nice to have the data used for the customer RFM and other calculations, for our own tinkering and learning process. Overall, excellent course.
por Andres C A•
Customer Analytics is eye openning, this course changed the perspective I had on the business I'm in charge of, at this moment I'm not aware of hoy my customers behave over time, how many of them have churned or wich of them will likely keep using my service, I had no focus at all of my customer behavior.
I gave 4 out of 5 because the course gives you a general prespective, it would be great if you could get some kind of homework to apply these lessons to real life. I'll try to make the excercises with my costumer data base.
por Antonio V•
Extremely interesting topic. Some of the course material needs in my opinion some rework, in particular the Predictive Analytics week. Additional teaching or reading material would help better understand the nuances / deeper insights of the topic and be better prepared for the Quiz.
I'm NOT saying the quiz should be easier, far from that, I'm just saying more material is needed to better grasp the different topics and be more successful in the quiz as it is today.
Amazing topic and Faculty! Keep it up!
por Sahil G•
A great course for an introduction to the world of Analytics. It is a very well drafted course which hits the right balance between a little more than just introduction, and in-depth knowledge of the subject. If you are new to this field and want to explore it, this course is perfect for you. It gives an interesting insight to the heights of usage of analytics in the world around us. By the end of the course, you will be able to answer yourself the question that should you be pursuing this field.
por Giancarlo P•
Basic course on how to get a basic knowledge and literacy on the subject. I would have liked more real-life oriented questions - the chapter about customer centricity (Fader) is more about theoretical accomplishments and publications by the course professors, with lots of theory in it more than "how do I get to solve important corporate day to day business problems with this kind of knowledge"?. But it's every university-level course flaw, I guess.
Letting this alone, great course.
por Krzysiek S•
Lecturers apparently have huge knowledge which is appreciated. However, I wish there is more knowledge in the materials/videos (for now, I think we just touch the subject without diving into the details). In addition, some of the exam questions were not covered in the materials (in my belief). However, this may be an advantage, that made me browse internet for more information which probably impact my learning process positively!
Anyway, I found this course as a good one!
por Khushbu W•
I feel so awesome after going through this course! Its really informative but I really wished there was more to do and learn while elaborating concepts , more deeper. I understand its not possible to do so for online courses, but I really want to dig down more on this and it has definitely opened new doors for my thinking towards customers & monetising business! Thanks a ton to all the lovely instructors without whom this concept would never have dawned on me!
por José L S E•
En mi caso no tuve problemas con el idioma pero los subtítulos en español tienden un poco a confundirte, ya que hay métricas y conceptos cuyo origen es, netamente, en inglés. Si conoces un poco de inglés será más que suficiente. Por otro lado, los temas muy buenos. Tienen que tener en cuenta que es un curso enfocado en la aplicación del customer analytics para la toma de decisiones de negocio; para nada operativo.
por Sugata B•
This course was helpful in understanding the subject matter as a beginner. However, I do hope that Coursera will work towards ensuring that the assessment tests provide some kind of feedback for all responses since that should also be part of the learning experience.
I think you will find this course to be of greater value add if you are a student of marketing, business study or a sales/marketing professional.
por Yi X B•
Overall the material is solid. You need to have some marketing/analytical knowledge, otherwise some terminology or concept can be a little challenging to gasp at times. In my opinion, week 3 and week 4 were the most challenging in terms of depth of material and wording of the quiz questions. Week 5 was really interesting because there were many great examples that most of us can relate on a day-to-day basis.
por Rodrigo A•
The course provides high-level information but lacks a bit more of details or resources for people to know how to start applying the models. In addition, some info is already outdated in 2020 and could benefit from a refresh for the applications and case studies. Overall, it's a decent course to provide a high-level understanding of customer analytics for non-statistical / marketing people.
por Lilly N•
Really cool and informative course -- changed the way I see analytics and the purpose of data collection! Really interesting and informative perspectives and research is shared. I felt like I was being lectured to and the quizzes are surprisingly challenging! I would loved to get some practice quizzes on regression and getting practice with excel-based questions and calculations.
por RASHMI K•
Rich content with great examples. Professors are awesome.
My feedback would be to provide better content in the slides so we can review them at a later point in time and understand. The slides currently are very abstract.
The other feedback is some of the questions for the quiz are difficult to understand and more to do with how the question is interpreted rather than being tricky.
por Shalini U•
Insightful course....helping to catch up executives with the latest developments in Marketing Analytics.While it is good for a high-level strategic overview,I would've also liked some intro into specific tool-boxes and models.( say,NLP,or use of MARS,,etc.)
Additionally, pls provide specific reading for Prescriptive Analysis section ( for students without economic background)
por Kerry B•
It would be better/more helpful if the professors taught the actual models that business analysts use every day. I am just getting into business analytics from a different field, and would have appreciated learning/knowing how to perform things such as probability models, churn models, etc. that they reference in their videos. Overall this course was a good introduction.
por Fitrie R•
I love most when Prof Eric Bradlow tell how tremendous of impact using customer analytics in different corporate. However real to-do-assignment is still missing here (such as work with modelling in real programming). I think this course is good for having an insight what customer analytics can do in various field. Thanks a lot Prof, highly appreciated for the knowledge
por Sarp E•
Great class for everyone. I am an industrial engineering student and I am constantly using regression analysis. It was great to know how I can use different statistical methods used in quality management in other disciplines.
As a recommendation: Applications part was my favourite so I would like to see more applications of customer analytics by big companies.
por Ram S•
Being in the industry, we tend to take things for granted and this course enabled me to course correct my view on how technology combined with market research is changing the customer dynamics. I enjoyed every module and the professors were very sensitive to deliver the complex content in a easy-to-understand manner. Looking forward to the next modules.
por Samik D•
The Predictive Analytics module was great, especially with the BTWD model explained by Prof. Fader. The Descriptive Analytics module was also decently taken by Prof. Iyer. But the Predictive Analytics module by Prof. Berman was a letdown as it didn't really explain well how we should go about creating a Prescriptive Model at the granular customer level.