This specialization is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. We recommend that you have some background in statistics, R or another programming language, and familiarity with databases and data analysis techniques such as regression, classification, and clustering.We’ll cover a wide variety of analytics approaches in different industry domains. You’ll engage in hands-on case studies in real business contexts: examples include predicting and forecasting events, statistical customer segmentation, and calculating customer scores and lifetime value. We’ll also teach you how to take these analyses and effectively present them to stakeholders so your business can take action. The third course and the Capstone Project are designed in partnership with Accenture, one of the world’s best-known consulting, technology services, and outsourcing companies. You’ll learn about applications in a wide variety of sectors, including media, communications, public service,etc. By the end of this specialization, you’ll be able to use statistical techniques in R to develop business intelligence insights, and present them in a compelling way to enable smart and sustainable business decisions. You’ll earn a Specialization Certificate from one of the world’s leading business schools and learn from two of Europe’s leading professors in business analytics and marketing.
Great course. The level of R needed to complete the course is very basic and a person having no prior knowledge in R could do it with some difficulty.
Really had fun learning about the data of marketing analytics. The professors/speakers of the video makes the lesson more interesting and easy to follow.
Great and Excellent thoughts and course material.
Great specialization! I my opinion it's the best business analytics MOOC. By far.
Good foundations course, some basic working knowledge of R is required so i would recommend that you are able to use the software. Statistical basics is also important to grasp the work.
Really enjoyed the lectures & the example. The quizzes could have been more challenging: both in terms of structuring the problem & coding
Such an exiting journey to the digital consultancy world
Excellent course to learn the basis of Strategic Business Analytics: precious concepts, relevant business use cases and very pedagogical. I totally recommend this course.
This course is well explained by Professor. Sometimes i found myself in trouble using R Syntax because i wasn't much familiar with it
Business analytic explained in simple language and real case studies. Short and enjoyable videos. (recommend 1.5x~1.75x view speed)
Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.
Exciting intro into marketing analytics. The material is explained very well and easy to follow. Many thanks!
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Pathetic description of requirements. Advance knowledge of excel is required before doing this.
English is horrible, and I am french...
I didn't think that it was made clear enough that you needed prior understanding of different topics. For example, you would certainly need prior knowledge of analytics and of coding in order to be successful in this course.
I found that the structure was quite disjointed and that you are not given enough information to complete the assignments.
it is impossible to finish the course, nobody evaluates the final task
I am only at Week 2 so far, but the techniques presented in this course, enhanced by the quality of the recitals (which walk you through the R-code application of the concepts presented) are very relevant to the subject matter.
I would not recommend taking this course without a decent background in R; however, the recitals do a good job at helping even beginners understand the application of statistical models to business decisions.
Prof. Glady is an excellent lecturer. The course is very well produced, and the recitals were a great introduction to using code to solve business questions.
The final course assignment was not defined precisely enough which led to varying interpretations among graders and reduces grades for all as a result.
Otherwise a good intro course for the analytics specialization that focuses on the managerial aspects of data analytics and the communication of results.
I wish that links to supplementary reading on the statistics used in the course would be provided.
wwhy do you have to wait for peers to review your work before getting the certificate
Good concept, but requires a lot more content. The course clearly mentioned that it is applicable for the students of all levels, whereas it is tailored to managers with significant statistical background. It was unclear why we choose some type of analyses vs another one (neither during videos nor during recitals). Good concept, but requires a lot more content
It does allow the purchase of a specific course within the specialization, the student has to subscribe to the all specialization even if they are only interested in one course only. Secondly the owner of this course should have allowed at the assignment to be submitted, because some people purchase a course only right after they have completed it.
Started in middle of everything, its course covers 5 to 7 factor samples, in the final exam the minimum factors is 70 or more!
You not will learn R, not really business insights, but you learn some specific cases.
I think you will learn lots of betters course in this site.
This course is fantastic and contains insight and material that is difficult to find elsewhere. It is enjoyable, but it isn't easy. The level of analysis required in the final week on some of the suggested data sets goes above the level of R programming described in the course, so you'll have to do some additional learning if you're not an R user. Unfortunately, it often takes a little too long for the peer reviewing to take place, but other than that the course is one of the best on Coursera.
Practical skills taught for how to use data tool for business purpose. It is exactly what i am looking for!
If you do not know anything about R, it is suggestible to take basic R language course before enrolling in this one.
I myself was a newbie in data field, but I took several courses of "Data Science" by John Hopkins University before starting this one. I am delighted to find that the coding thing I learned would finally have a role to play in possible future career.
Learning a lot from this course! The instructor addressed real business case scenarios and delivered everything that was stated in the course objectives. Both the style and the content were well balanced in terms of strategic business issues and tools to address those.
I had a good understanding of R, regression & classification algorithms. I found this course very helpful in understanding how those methods can be implemented in analyzing various business problems for strategic planning.
This course is excellent when it provides the citations very fit to theory. And I learned it in well organized structure of knowledge. Thank Prof. Glady and his team very much.
The course contains the in-depth knowledge which helps to learn more about the business analytics. The assignments will test your presentation skills and creativity skills
The course contains the in-depth knowledge which helps to learn more about the business analytics. The assignments will test your presentation skills and creativity skills
The better course I have ever realized on Coursera. Theorycally strong and truely applicable.
The course covers a great deal of content, which is very relevant to day to day business context.
However, the course instructors can certainly do a better job on providing clear instructions on Projects and phrasing of Quiz questions. Some of the phrasing of questions/deliverables can be confusing and often requires rigorous deciphering.