This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
JB
Excellent for learning different types of analytics, the different tools, learning which type of analytics and tool to use in a specific situation. Furthermore how to implement analytics in business
JJ
Very useful and very informative. Loved the predictive and prescriptive part of this learning. Good knowledge to get into more advanced learning. Much much better than customer analytics course.
BC
Excellent course! I learned more about HR and staffing strategy from this single course than the Human Resource Management specialization from the other university program offered on Coursera.
CE
well i give 4 stars because in week 4 there is some trouble with translate appear fast than voice it hard to interpret and understanding because of lack listening in english, thank youu
WW
It's the excellent for Business Analytics, this like a test all of knowledge that we have learned for Business Analytics Specialization course and can be sure that we can be put in real.
EG
Well, this course is like a front page of Wharton for coursera users. At the end of the course the only thing I wanted was enroll in Wharton College, crazy idea - it very prestigious thus costly.
EW
Excellente course. Very challenging especially for beginners. The motivation to achieve my final goal of reinventing myself professionally, makes every challenge a welcome experience. Thanks Coursera!
AA
Thank you so much for this very helpful module! I hope you continue to inspire HR professionals around the world to use HR Analytics as an important means to drive organizational-related decisions.
HS
Linking non-financial metrics wasn't very informative. May be, a more practical approach could have been more effective. Prof. Bushee made the concepts very clear and helpful.
CJ
I took this together with 4 other modules in the Business Analytics Specialisation. I like the case study in which I am able to apply what I learn to real world issues.
AG
The course is very useful and opened a whole new set of interests for me. I'll keep learning and digging into customer analytics for sure, I can see it's a very valuable set of skills and knowledge.
PK
An exceptionally organized course with sufficient examples, it provides an in depth analysis of the concepts introduced (optimization, decision trees, forecasting, simulations) and of the tools used.
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The course talks about various techniques and methodologies. But does not get into details. For example, churn analysis. They talk about churn analysis but does not get into the details on how to perform a churn analysis.
Good as an introductory course for customer analytics.
If you are completely new to analytics in general, this might be a good course to start with. However, if you have some prior exposure, you might not learn anything substantial. This was supposed to be a five week course, but I was able to complete it in less than seven days.
How this course can be improved:
I wish that the course included more quantitative elements. I wish that the course included some assignments for the students to actually develop and run some models.
Theoretical
Good survey of the topic but only focused on B2C. If that were my focus, I'd give it a higher rating. I was hoping for insights on B2B as that is my field, even if only a short video to address differences/similarities/peculiarities.
I would like to hear more about models especialy predictive one but all the things about models are bullshit. They generaly talk about demand curve which is a lesson of a economics more than customer analytics. They should choose more appropriate example. Moreover, I expect to see at least the type of models and where it is used generally. It was a waste of time. That's why I am not gonna take other modules. Adios !
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.
I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.
Hi,
I have enrolled into the Curriculum with aspirations of becoming expert in the field of Business Analytics. So, frankly, I took a calculated decision/question/probability regarding how much it would be beneficial and how much I will be knowledgeable by the time I complete the certification program.
Now that I just completed my my very 1st course, Customer Analytics, I got answer to my question that my money, my time and efforts I have put is ABSOLUTELY worth and more than that I become knowledgeable in the domain.
Especially the respected professors Mr. Iyengar, Mr. Peter Fader, Mr. Eric and Mr. Ron have explained each concept in a very vert understandable way. The way or the navigation, introduction to the subject, the problem, explanation, breakdown of the solution and conclusion and their applications with business cases and scenarios are too good.
Now, I feel very confident and CAN confidently say that my basics, foundation in Customer Analytics are very strong and I can apply them to any tool, any scenario, any domain and for any problem in a any situation.
Thanks to my Professors.
Regards
Perfect Course for those who want to inquire insight and knowledge of how tons of data that we generate in our day to day life is being utilized by big organizations in optimizing their productivity.
Wow! This was so insightful into how our social media and daily habits are used. I don't like feeling like a sheep, so this awareness is appreciated. I'm still trying to design how I could apply this to my Trade.
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.
Entry level discussion on Customer Analytics. Some of the material is a bit dated.
An excellent course to understand the value of data, how companies are collecting and harnessing their data an efficiently applying AI/ML concepts to provide better services and products to their customers.
Excellent couse on "Customer Analytics", my first ever. Excellent teaching quality and the video-lectures are with the Wharton stamp. I am excited to complete the "Business Analytics Specialization".
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!
The material was good, but quizzes are riddled with issues.
Covered some important foundation topics quickly to properly synch in with examples etc. and the last week of content was outdated from 2015 because so much has changed in last 6 years.
Course Material is too old. Material is already 5-6 years old. Most of the information is becoming obsolete. You need to update the knowledge being delivered as well.
Basic course on customer analytics, was expecting a little more advanced content looking at the course content and structure.