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.

This is more than just an Excel course. It also covers a lot of statistics and the application of statistics in Excel (with pre-built template). I think more focus on how to build things in Excel will be useful.

Very interesting course, but I think too much information for such short period of time. For me was difficult to understand und combine all given methods. More practical business cases would help here as well.

Most concepts are rather theoretical and it feels more like a probability and stats course. There is not much focus on excel implementation and life is made seemingly easy with all the templates provided.

The course is actually teaching you lots of stuff on statistics and probability but not on Excel. Also, the course needs better organization, many of the hints and resources are obsolete and need update.

Difficulty (at least for me) was non-linear. Weeks 1-2 were very basic with weeks 3-4 moving into parts of stats that I don't recall from my college course so it took some extra work to apply the models.

I like the course but sometimes the instructions are not clear enough. The learning materials are good. Yet I feel it takes so much time to finish the course because I feel not being instructed clearly.

Tougher than the first in the specialization. You have to spend time on the material to succeed. In the end a lot of the concepts were not that difficult to figure out - don't overthink things as well!

Highly useful and practical course. it can be a bit challenging for Uni graduate from irrelevant field.

the First course and the visualisation course from this series of specialisation is okay .

The final task in this course was quite a challenge to understand, I highly recommend reading forums for that. But overall - well-explained material with exceptional templates for future use.

It was a great course and I learned a lot. However, I think the final project could have been more spaced out. In general, I felt like I needed more time at the end to review Excel Modeling.

More respect after the course than before, as I thought this would be a pretty easy Excel course, but finishing it called lot of real work and statistical and modelling understanding.

Learned a lot, no doubt. But the content could have been a little bit more helpfull regarding the final project, i found it really challenging in some aspects. Anyway, great course!

quite a lot techniques to learn. Just wish they could explain more about applications of those techniques, in more details, which however might be hard to get done in 5 weeks though.

An in depth deep dive into the mathematical concepts needed to be understood for data analysis tools and techniques. An all round good introduction into the field of data analytics.

I didn't rate 5 stars because I thinck there a are a few steps Prof. need really to enter more in details giving the solution to the diffent test but I really enjoied the course

Quite comprehensive on the usage of concepts taught in the course. However, bit of diversion seems to come in assignments and quizzes. Overall, very challenging and fulfilling.

The concept is well explained, but the explanation about how to apply the concept to the case study is confusing, even though I know the basic knowledge about statistics.