Maybe because I went through it too fast but, I felt as if there was too much repetition. If a person follows the recommended speed or even double that, it shouldn't be an issue.

Very easy to understand. I felt it is little dragging, but at the end I understood that its good. With lots of examples, the tutors made me to live in the course. Thanks a lot.

Great course on how to ask correct questions while analyzing data. Also additionally it goes through basic etiquettes and best way to communicate well with other team members

More of a preference as I prefer learning more about SQL an R and spreadsheets in general but it was good info absolutely. Just a personal bias towards certain course topics!

The way Boy teaches in the previously lecture was amazing this ximena teaching super was sometime i have to play back to learn what she was teacher but the written was great

The second half was a bit more focused on workplace commnicaiton & collaboration, which could be learned elsewhere. I wish it would be more highly-related to data analysis.

This course was very comprehensive. I think that if you don't take good, complete notes you might have an issue recalling this information. I totally enjoyed it. Thanks.

It's fabulous to learn many tricky parts like communication skill and how to behave during conflict situation and also learn on Quantitative and Qualitative Data pattern

Very well presented and a pleasure to follow through, nice to see people skills as part of the course. learnt new skills and looking forward to the rest of the course

This course includes amazing material but the time allocated to complete each section just does not allow for students to explore these extra resources thoroughly .

This course had great material, but I was unclear of the scope. The first three modules were contacted. Model four had little connection with the previous three.

That course was effective and so useful, but long reading material than practising material, also covered so basic elements of a spreadsheet than I was expected.

Should have covered more spreadsheets basic, and don't repeat the same information that has already explained in the video to the reading section and vice-versa.

Really informative. Particularly enjoyed structuring meetings/projects, my work culture could definitely use a formal structuring of projects and sharing ideas.

It seemed to me just a little bit more boring than the first one since there were some contents of this course i already knew, but great course never the less

The course have summarised my experiences in my professional carriers and enlightens me on things to do better & what it takes to a professional data analyst.

Everything was perfect but there was one exercise where you had to analyze a dataset, and they don't give you a lot of instructions so I was lost in that one

I think that here should be more reccomended articles outside the coursera about type of questions and effective choosing the type of question in situation.

I think the last quiz was hard. So It would be great if you can make it more easy to understand. And instead of download the resource add in the same page.

The course covers crucial information, however, there are some topics that don't match the overall course content, making it confusing to connect the dots.

This was a lot of information for Ask Questions to Make Data-Driven Decisions. I really appreciated how comprehensive it was and asking a lot of questions.

it's a very well ,focussed course on the topic- Ask Question. one can expext a lot worth watching and learning the new aspect as a Data Analyst Aspirant.

The way Ximena taught was really good but I just felt the first course set standards high so I could only rate it four comparing it with the first one.

Only thing I dislike are the questions that want you to come up with mock issues. It'd be easier if they give you an issue and have to work that out.

Course is good for developing questions that we may need in doing data gathering. Lacks technicality in terms of using SQL but the concepts is good.