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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.