Nice

Good

Nice

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good

best

good

nice

good

good

good

Fun

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Pros: The explanations are clear. The instructors seem knowledgeable and the lectures are well organized. The are several quick questions embedded in the lectures, which is great to help you remain focused on what is being taught. Great for people without a tech background.

Cons: The course is really basic. If you have a technology background (fro example if you are a programmer) this course might seem too basic for you. I'm a commercial intelligence analyst and I could complete the course literally about 5 days working about one hour per day even though I had not used tableau before. I'm glad I didn't pay for this course myself (my employer did) as I think that the content-price ratio is not very good for someone with my profile. I'm still giving it 4 stars because the limited information shown in the course, is well taught.

The course covers all of the relevant parts, however it does not go deep enough. It is highly recommended for complete beginners, but not for those who already have some knowledge in the field.

In particular, more content should have been provided for the following topics:

(1) Data connections, e.g. include a real example for connecting to odata and web data connector, also create a sheet with the data;

(2) The context of data visualisation (who, what, how, big idea), e.g. walk though two additional examples in different fields.

I particularly appreciated:

(i) The historical introduction (and I would have liked to read more about this)

(ii) Live Connection vs Tableau Data Extract

(iii) How to prepare an Excel sheet for import

(iv) The strategy for making a story (but as I said, this is partial)

Overall good introduction to Tableau, covering basic functionality and taking the student from a single viz to a completed dashboard through follow-along examples. Individual project allows to apply and practice the skills learned. In the videos, sometimes the mouse movements are not visible, causing the viewer to guess specific instructor actions to complete a step. Also there is some inconsistency in instructions that reference incorrect videos where certain steps were covered. Some of the materials are attached to a different video from the one where they are mentioned, had to go to forum to hunt for those. Could use a thorough review and some tweaking, but otherwise passable (literally).

I enjoyed the course and did learn a lot, however, a lot of what I did learn I had to learn myself on google or in the Tableau community. I would suggest for the final project making a specific prompt with provided data and just ask to make a dashboard instead of "improving" the ones provided on Monday makeover. Asking to improve a dashboard that is already very good and above what the course teaches is very daunting. I understand that it isn't really expected that you improve the piece, but for someone like me who follows directions to a tee, I spent a lot of time trying to improve the viz with a skillset and program much lower in capability than the capability of the original viz creator.

Good class. There are a few big stumbling blocks, however. The instructions for peer-graded assignment in Week 3 are, to put it mildly, horrible! After spending hours trying to figure it out, I wrote a revised version of the instructions which can be found in Week 3 Discussion - "Clear and Easy to follow Instructions for Week 3 Assignment". I hope these instructions will be used to replace the current ones which have confused many. Week 4 peer-graded assignment instructions are a bit long winded, leading many to miss providing the one-sentence summary. But for these issues, it would be a 5-star.

The material in this fundamentals course was very well organized and presented. The quality of the videos and style of the instructor is excellent. The only criticism that I have is the requirement to use Twitter to complete the assignment. I took a class on Tableau, not a class on tweeting. I don't think it's reasonable to grade students on how many hashtags or sentences they use in a tweet. This isn't a social media class and not everyone wants to use social media. Focus on the topic of the class rather than requiring students to be part of your pet project.

This section seemed to be more about the logistics of data connections and setting up your workbook than it did actually focusing on visualizations themselves. I think maybe changing the title to "Fundamentals of Tableau" or "Intro to Visualization with Tableau: Visualization Theory and Pre-work" might be more encompassing of what this section actually focuses on. That aside, it is still all very useful information and I do appreciate learning about the ideology behind visualization as a tool for telling a story with data. It really grounds the principles.

The course was easy to follow with Desiree Abbott. I would recommend sharing the grading ruberic for the assignments prior to the submission so students/learners can manage their expectations. After all, professors /teachers do it at the college level. Also my version of Tableau was a little different from the teacher and a couple other students mentioned the same thing. Finally, there is a need for more teacher/staff support for questions in regards to projects and the material as opposed to relying on other students in the forum.

T​his course taught me a lot abou the basics of Tableau. It would be helpful to have a list of what softwares the course needs. In the first project, you need to download a Google Sheet but it was impossible for me to download it from my work laptop. I used my personal laptop to complete this portion of the program. For the final taks, you are required to use the MakeoverMonday submission trtacker. For this I needed to use my personal laptop since my work laptop wouldn't allow me to access this page.