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I was hoping to get more technical skills, and how to actually use Tableau. We created a couple of very very basic dashboards but that was it. I feel like the whole course was more soft skill based, which is good, but not what I anticipated. I wanted more Tableau skills, and less of what to do if I am being nervous in front of my stakeholders.

If we stick with soft skills, one interesting skill to learn would have been how to present something technical to stakeholders that don't have much technical expertise. I feel like that is more of a challenge, since the "knwoledge bias" you have would be more predominant here. How to facilitate communicated difficult stuff would have been awesome.

On another note, i really liked Connor as a presenter. His voice was confident, pace was very good and he seemed well prepared. Good choice there

I have given this course only four stars for a couple of reasons. For me, the instructor was a little dull. However, for non-native English speakers, I'm sure that they will appreciate his slower speech. Although Tableau seems like a great program, I didn't appreciate that we had to download the program. And once you download the free version, you can't save your visualizations on your own computer, but have to save them to the web. The quizzes about Tableau were stupid. As for the final week, I have been teaching the same things for over 15 years, so for me it wasn't that interesting. However, I liked how the information was arranged and Kevin was great at presenting the information. The course was fine, but for me it wasn't a 5-star course.

Lectures are comprehensive but dry. Although not hard to follow, the nature of the topic makes it difficult to answer questions which use a large amount of jargons that are only introduced by this lecture. For example, there is a question in which the choices are "variable," "view," "visual" and "value." Everyone knows what to do given the context of the question, but these choices are so close in terms of meaning that they are like synonyms to each other, making it difficult to make the correct choice. I have been to a lot of professional presentations but these words are sometimes used interchangeably. Should consider redesigning the questions so they are focusing the logic/thought process of data visualization rather than "nitpicking."

Things are great, right up until it's time to work within Tableau. Then I find that I spend a lot of time trying to apply the Coursera instructions to the Tableau environment. Often the disconnect is too severe, and I cannot perform the exercise. The most time consuming part of this Data Analytics Certification is trying to get the Coursera instructions to work on various supporting websites. When I can't follow along with an exercise at all, I become deeply discouraged.

I appreciate the readings that go with the course very much. I also appreciate the interactive exercises. All the videos have a transcript, and the speakers have excellent communication skills. All those aspects are huge positives.

I recently took the course Share Data Through the Art of Visualization and I could not be happier with my experience. The instructor was knowledgeable and clear in his explanations and provided plenty of helpful resources throughout the course. The course content was comprehensive and allowed me to get a good understanding of how to effectively use data visualization to effectively communicate data. I particularly liked the interactive activities and case studies which gave me the opportunity to practice my skills and get real life examples of how to use data visualization. All in all, I highly recommend this course to anyone looking to gain a better understanding of data visualization.

The course is well presented and well explained by the instructor, the instructor has explained the concepts from the scratch and has provided a well good foundation for presentation and visualization skills. But, I feel the course focused more on soft skills and general management skills like stakeholder management rather than focusing on Tableau. A lot of technical skills could have been added along with sample project submission and peer group grading since Tableau being a visualization software that may require more practice. But besides that, the course was decent overall.

The content of presentation skills and theoretical aspects is great, the examples in the videos and readings are also great. The illustrative videos and reading are throurogh and well-organized. However, I was exited to take this course in the first place for the purpose of learning Tableau up to an intermediate level like I did with SQL at the previous courses. I was really disappointed to find the related Tableau content is inadequate and discontinuous. Now I have to explore and study external course material for the sake of leaning Tableau all over again.

This course was very interesting to follow, Kevin shows and teaches a variety of practical skills in it. His expertise as a presentation giver is indiscussed. Indeed he is a living example of how the presentation should be stuctured and performed. However, I still found it difficult to follow some parts of the course regarding the storytelling process, probably due to the fact that English is neither my native, nor my first language. I would also have enjoyed spending more time learning Tableau and its features. Many thanks, guys, you did a great job here.

Too much theory about how to make a good presentation. It would be great if the course covers practical cases on how to visualize certain data into a specific type of visualization, and why...

Excercises are also mostly about theory and more soft skills.

Covering theory and soft skills are great. But it may be better if it's in a separate course. While for this course, I expected more about practical how-to on how to visualize data using different type of chart, color, etc.

I liked the content of the course, more focused on methods, tips and recomendations rather than tool using. While many may try the course for knowledge on using tableau, for example, I thinks the using of tools is easilly found on the internet, youtube videos and free material. On the other hands, tips and shared experiences tend to bring more value, in my opinion. The downside is: the instructor seemed a to robotic and not that excited during the classes.

I learned a lot more about presentations. There was probably not enough actual Tableau work however, it seems pretty easy to develop vizzes when you understand your data. As others mentioned, one of the tests was confusing in regards to which shape tool to use. Overall, this class was the most challenging for me due to developing the visuals when I haven't gone through the whole analysis process on my own. The instructor was very pleasant to listen to.

This was a great class. For improving some learner understanding, it would be helpful to see the syntax displayed in videos to strengthen understanding. Some of the tests were challenging because I had not been able to review the code for understanding of the statement.

I am super glad I took this class and I can see that the more I practice, the more I am understanding some of the common errors in my code.

I loved the topic. But I felt that some of this could have been "tighter" - some of the concepts seemed repetitive and disjointed especially the parts about Tableau and the screens not being current. I ran into a lot of problems trying to deal with the screen and the updated Tableau. But overall, I did learn and I felt it was an effective course with the range of talent explaining this topic.

The course is good and could have been very good/ excellent if Tableau was explained in more details. I mean more chapters/ sub-module with it. May be more course materials. I understand it is not Tableau course per se BUT honestly was expecting more of Tableau. Kevin, Director of Analytics was very good in explaining things and tips on presentations was very useful, for sure.

He course is little bit slow you can watch it on 1.5 x . All the little detail that is important while sharing of your data like types of visualization , you should use catchy viz so that viewer understand that Within of the 5 sec and what are the small things you should focus on while sharing like normal conversation how you should react to the question on you analysis

"If you did an analysis but no one saw it, did you really do an analysis?". I found this course to be one of the better ones in the Data Analytics certificate because it focused on one of the most important aspects of the career: presentations, and convincing stakeholders to follow your results. However, I wish there was more focus on how to actually use Tableau.

The course was fantastic! I appreciated it. On the other hand, concepts in weeks 3 and 4 could be much clear and straight to the point. The tests were relying only on memorizing definitions or trying to use some business jargon or cliché to confuse the student, especially those whose english is not their native language. I didn't enjoy that part of the course.