Critical thinking is essential at the moment of working over data. This was a nice course with a very good theory about all the process,which a data analyst has to perform.

Well defined strategies for getting a handle on the data analysis process. Short and concise class that hit on relevant points required to be successful in this area.

sometime it was not easy to understand the lecturer. also, it would be good to try some things out versus reading the expamples. other than that - a great course!

A great course with a lot of information. However, the course might be more concise sometimes due to the complexity of the information brought by the instructor.

Good course for the fundamentals of making sure data analysis is done correctly. These are good things to keep in mind when you are managing a data science team.

Course is very good and concise from a business owner point of view. Other technical courses will definitely add to the nuances of full fledged insights.

Comprehensive overview to understand activities involved in the iterations and epicycles of Data Analysis and to manage it with correct expectation.

It is a very good course but challenging, I had to make a lot of notes to understand the concepts and follow the lectures. It is a good investment.

While it was good, a lot of overlapping information and I wish it had more specific examples (rather than theoretical) in public health standpoint.

a lot of information, in a short period of time, I think it would be better if they use presentations and graphs and would be more easy to follow

If you can make the assignments nearer to the real world scenario and a little more detailed explanations for some parts, it would be great!

The content is covered in great depth in this course but pre-reads may help as the course moves up a few notches in technical content.

Useful overview of considerations when managing data analytics work. A bit superficial, but still a useful reminder of the basics.

I would have preferred that the course and/or accompanying textbook contain examples of templates used to manage data analysis.

great course. i just thin there should be more real examples to help us to understand (for exemple types of questions), etc

Teaches how to think about a problem more than the specific tools that can be used to solve them. Good practical examples.

the English accent is hard for me to keep the focus on the topic, although all the lectures are informative and helpful.

It is a good course, with general concepts, however, I think it could be detail an explain more the statistical matter

Great course overall. Should only explain better a few related concepts such as the p-value and confidence interval.

Course material is fantastic. However, materials could be better presented so that the videos are easier to follow.

Super and Really very Technical. It is One of the most important with this Specialization. I give the effect 87%

EDA approach and steps to analyse is excellently taught. The formal modelling take the course to a lot of depth.

It is hard to manage the presentation. There is no option to replay and you cant go back if you missed a term.

Data Analysis and the technicalities of getting to the right results and presenting them in a meaningful way

The videos can be made a little bit more interesting to viewers like with more visual examples or graphics