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.

Course is good for those who are looking to get skills in business analysis through excel. The final project does not have a proper reviewer or is not evaluated properly.

I really think the course should provide an example for the final project after submission because it was so confusing and none of my reviews has a good model. Thanks.

Very interactive and simple to learn course.

the video lectures are very clear to understand and worksheets are helpful to gain a better understanding of the topic.

Loved the course. Concepts have been explained in detail with interesting examples. Please try and include a more detailed explanation of linear regression.

So far i have found it useful. Most of the introduction elements are elementary but it gives you a chance to build up your knowledge and apply it as you go.

Very Good. At times too complicated questions for the explanations provided. Requires extra material outside the classroom not suggested and not vetted.

I feel this is way too hard for people who are not good at math, or haven't studies math for a long time. Took me longer time to figure all questions out.

I missed some more content in certain areas of the course (i.e. histograms). Apart from that, great course and great explanations by Daniel Egger!

Very useful knowledge in this course. Although, some of the quizzes require some small fixes, and there are minor mistakes in some lectures.

Overall, the course is great except for some minor inconvenience of the lecture. Some concepts are not carefully explain like incidence etc

This course is very good! The inconvenient is the lack of exercices, however, the explanation are clear and relevant; we go to the basics.

The course overall is fantastic but I feel that they should teach more through the excel spreadsheets than by using MS paint application.

Very good course. It requires concentration, time and dedication but it is really satisfying after you learn and apply all the content.

Good for learning statistical analysis using real examples (bank credit card application) and hands on the data in the final project!