Week 1 starts off where Course 1 & 2 left off... more lectures without course-directed opportunity to apply the lessons. Week 1 is lead by guest Instructor Hunter (who led some of the weeks in earlier courses). He's an expert academic in his field, but without more practical application of principles, limited benefit.

Week 2 offers some hands on Tableau practice, which is great. The Data Quality lecture is a waste and can be skipped, as the instructor just rambles for 18 minutes, and doesn't share any insights that weren't covered in an earlier course. In summary... make sure the data is clean or clean it up (before bringing it into Tableau). I thought there'd be some Tableau tips and tricks, but there aren't... (with the exception of maps/locations).

Week 3, probably one of the best weekly sessions so far (for those really looking to dig in to Tableau). The Instructor goes through creating multiple worksheet visualizations, and creating a Dashboard, along with interactive filtering (that has barely been touched on till now). The most hands on / application to date IMO. The quiz asks questions not covered in this weeks lecture (covered in Week 4). I felt like I wasn't quite ready to create the Dashboard (the assignment), especially after going through Week 4, where they go in more depth about Story-boarding. If you're ahead of the game, skip the assignment in Week 3 till you go through Week 4 (much more context and examples to leverage).

Week 4, starts out with Hunter sharing too much academia without practical application (as seen in most of my critiques, I find little value in this, but personal preference). When it switches back to the primary instructor, things improve greatly. Skip the last lecture... he spends 20 minutes telling you how to take a screen-capture and paste it into PowerPoint...? The assignment takes what was learned from week 3, and building a story-board, which is great. I mentioned in week 3 that I struggled with the assignment, as they're essentially asking you to cram a story into one dashboard, so week 4 I unpacked my too-crammed dashboard into different slides (story-points).

This course is literally hours of video nonsense. You can pretty much ignore everything Hunter says since its all fluff and theory that no one cares about. Explanation of visualization theory and fluff and almost no hands on experience into how it ties into Tableau, why are we learning from a consultant and an analyst? Talking about the art of story telling and data narratives, no one cares about that in the corporate world, just tell me how to use Tableau. Complete waste of time.

The peer evaluation hold back on the progress of the course. I can't start the capstone project without the final evaluation from my peers

The content is fine, but the peer-reviewed assignments aren't adequately described. You're asked to score other students on things you haven't been asked to do in the assignment. Overall, the assignments don't seem well thought out.

Overall its a great course to be introduced with tableau's functionalities and its usage in Business analysis and then explaining stories, Discoveries via visuals,dashboards and story telling

This course gives a good understanding of Tableau and implementation in terms of worksheet, dashboard and story. This course helps to understand well the visualization concepts and incorporate all of them together to make a visually perfect dashboard for the viewers.

Great course with amazing teachers and material! I especially liked the amount of technical tutorials that are given in this course. I would recommend this to anyone starting out in Tableau.

It is a great course focusing on story telling and technical skills required to assemble it. Great assignments and a lot of practice along with a lot of advice on how to tell your story.

This was one of the most indepth tableau courses in the series. It got into details and usable examples, just the thing you need to get creating on your own.

Very well taught and straigh to the points. Also liked to have different speakers throughout the module: it is refreshing. Thanks and keep it up !

I enjoyed the class; I didn't care for classmate assessments because it was subjective to their viewpoint, preference, and prior experience.

Hands on lessons are great.

Thumbs Up!

Needs better step-by-step in Tableau. if wanted to figure it out myself, i would not have taken this certification. Also, formatting is drastically different from my version of Tableau.

This course is very good - but it had too much pure storytelling and too little Tableau for my taste, thus doesn't get the full 5 stars.

At 3.5 stars, this course took a step back from prior courses in the series. The pace of the videos was a little slower, and they did not seem to add the value that prior videos did. In some cases, the information was redundant or the instructor's point seemed to be lost. That said, the discussion, external links and related references continue to add great value to the course!

Good for beginners but this course doesn't go into how you can leverage more of the features the tableau platform offers. There needs to be a subsequent 'advanced' course but as of this writing, that isn't on offer through Coursera

The course is well done and thought, it is not exceptional though.

It is well structured, the teachers are good, the content is good, and many tools and strategies are used to improve learning and increase retention of the contents, e.g. additional readings, in-video questions, external links, and video tutorials, in addition to the usual quizzes, assignments and peer-reviews.

I would have enjoyed more practice on the design topic.

Everything is in place, but something is missing to make the course exceptional.

For example, some of the screencasts are too short, and sometimes introduction and conclusions alone take a relevant fraction of the whole video itself. Sometimes the in-video questions are too trivial to be useful (mere repetitions of what has just appeared on the frame before).

A general comment on the Specialisation. This is last (4th) course (before the project) of the Specialisation on Data Visualisation on Tableau, I’d expected to see somewhere along the specialisation something deeper about creating complex calculated fields (e.g. explaining the usage of “fixed”, or “window” functions).

This course builds up on the first 3 courses. The neuroscience and cognitive aspects of visualisation that are covered in courses 1 and 2 suddenly start making sense. Also, the in-depth overview of Tableau that Suk provided in course 3 builds a fine ground to tackle the challenge that this course provides.

Building a story really makes you think like an analyst. I felt that I learnt so much from the demonstrative videos, especially on the non-technical aspects of visualisation (and Tableau). You will learn subtle aspects of tweaking that make the visualisation from "good enough" to "inspiring".

Tips:

1. Recommended background reading is aplenty. I would not recommend spending too much time on the research papers as many were far too abstract for my taste.

2. Recommended websites and readings from Tableau are good though, e.g. have a try at Brainpickings.

3. I have not read any of the recommended books, but will consider buying at least one as a reference.

4. Do not attempt this course before completing the first 3. Else you'd be up for a very steep learning curve.

Creating Dashboards and Storytelling with Tableau is a standout course in the Data Visualization with Tableau specialization. It strikes a perfect balance between technical skills and design thinking. The lessons are clear, practical, and well-paced, with real-world examples that make the concepts easy to grasp and apply. I especially appreciated the focus on tailoring dashboards to the audience and telling a compelling, data-driven story—something that’s often overlooked in technical courses. The hands-on assignments were engaging and helped reinforce what I learned. By the end of the course, I felt confident building insightful, professional dashboards in Tableau that go beyond charts to actually communicate meaning. Highly recommended for anyone looking to elevate their data visualization skills!