Excellent course. I am a finance professional with limited statistics knowledge. Was able to follow the lectures. The reason for the 4 stars only is that the quizzes can be confusing with missing or misplaced information. Sometimes you have to search in the forums for hints.

The course content was really nice. A few corrections in assignments is required but overall the learning experience was great. The best part is the course does not spoon feeds you everything, you need to put in efforts to complete it which is really important for learning.

very good course, it is too long to me (6 weeks). would be better 4 and not to take some materials. It seems to be a lack of order in the course development but still a good course. Please do not take it if you are not familiar with some basic statistics and probability.

Good course, bit disjointed at times and some of the maths is rushed through, or not really relevant. Not sure I need proofs on why standardising figures results in easier to use data, maybe just show us how to do the analysis and apply it to more examples in real life.

Very math intensive and in my opinion a bit of an overkill consideration these days so many of these calculations are automated with software like R and Python. Maybe less time on how to actually perform the operations and more time on how they relate to each other.

I have learnt a lot about creating models with training data set and testing the strength of the model on test data sets. Every quiz is designed brilliantly. The only problem is that questions in the peer-reviewed assignment are not very clear and need some fix.

Lots of good information. However, this course could be structured a lit bit better. More examples and small practice exercises within the lectures would significantly improve the retention of material.

You should posses at least basic knowledge of statistics.

Great information included. I feel like I know much more about modelling data than when I started. The quizzes can be in that without the hints on the discussion forum I don't know how I would have completed them just based on the information in the videos.

This course is really useful for Data Analysts. I learnt much and the final project was a real task. But one aspect that is lacking where I couldn't rate 5 is, Quizzes - there are so many mistakes and not instructed well. Hope it is improved in future.

I would have appreciated a bit more of a hands-on process in building the workbooks (with proper instruction of course) and more formal presentation of the formulas being used, but overall, I got a lot out of this course and enjoyed it along the way.

Although more about Prob and Stat than learning to use Excel, concepts of binary classification and entropy are very interesting and are taught very deliberately and thoroughly. More practise quizes and worked out examples would be even better.

Course is very good! All examples are very clear and detailed. And a spreadsheet is provided to follow along during class. Only bad thing is that it was not so clear this course is heavily related to Math. Data Analysis = Math & Statistics. ;-)

Tough class but filled with useful and applicable ata analysis using the most popular and available program to do this work... Be prepared to get a little frustrated and watch the instructions more than once..... It's not Cousera fun fluff !!!

Great clarification of concepts regarding "classification algorithm" and its application in various industries. Final project is awesome but very practical and needs more clarity in videos and notes. Overall, very challenging and informative.

Enjoyed the course overall. It's been a few weeks now, but I recall getting the sense that it needed a careful overhaul on quizzes. Some of the frustrations were mentioned in discussion groups that don't seem that well trafficked any more.

The course is very challenging, but very interesting. I will probably suggest a bit more of staff support in the last week, specially the final project which is very challenging and demanding. A bit more of orientation will be really good.

The explainations are a bit hard to follow if you are in a hurry, some times the course concepts just jump onto you. The techniques and content are really really great and very relavent, but the instructional value can be further ehnanced.

Very detailed course introducing us to the foundations and concepts leading to analytics. However, I think the course could have been simplified, as it takes strong understanding of probability and related concepts as prerequisites.

This course is about modeling but not Excel features.

I really enjoyed the course, but I had other expectations before starting working with this course.

I think, the title of the coure should be changed to minimize miscommunication.

(Final Grade 91.4%). You will need to dedicate a time discuss course material with fellow learners, mentors, and instructors.

Update 07/29/2017 , I review the material , and they do a lot of corrections to the explanations ,

This course although well taught was too difficult as it required understanding of higher level statistical concepts. That said I enjoyed the course and learned a lot for the instructor and the discussion groups. Thank you

The course come up with lots of learning but there is a lack of use of Excel. The instructor showed everything with manual calculation instead of Excel formula. The course would be great if everything integrate with excel.

Excellent starting point for data analysis, while prior knowledge of statistics and excel are not necessary, they do help with course comprehension. Would like to see future courses expand upon what was taught here.

Great course and great professor, overall! The course was challenging at some points, especially when it came to the final project, but I really feel as though i learned some valuable skills from taking the course.

I really enjoyed the course. Professor was very good at explaining everything. And the team was very helpful. And this course is definitely for people who already has a good backround in exel and working with data.