MK
It\ helps to understand all the basics regarding Tableau and also how to use it and install the tableau. It covered all the fundamental;s of visualization with tableau and the quiz were also good.

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company.

MK
It\ helps to understand all the basics regarding Tableau and also how to use it and install the tableau. It covered all the fundamental;s of visualization with tableau and the quiz were also good.
PJ
More explanation and reasoning on why specific charts should be used during hands on session can help. Especially with control chart, personally found bit difficult. Rest the course was good.
DA
The teacher taught a lot about Tableau and it give me more understanding about what to use. Would like to get back to the course video again anytime needed as it is very helpful
EP
Really tangible and useful. I have been able to take what I've learned in this specialization so far to create dashboards at work. I'm really pleased with how much I've learned in such a short time!
DM
Really well done. A great intro for people looking to tell stories with data.
RJ
The teachers were very good and so was the content. The public tableau was of a different version and it made it hard to follow the teacher at times. I would give 5 stars if the content was updated.
AK
Great course! I learned things I could imminently apply to my job, I would say that a solid base understanding of Tableau is needed for this class.
DO
This was the first course in the specialization where I learned something new. People with any experience with Tableau should probably start with this course.
RM
Its a good Course to get understanding regarding Tableau Story telling ,This course covers start to end aspects of story telling with Tableau.Its a very good course to move forward in Tableau
SR
great content ever had on online. I love this course very much because this course helped me to make how to make story with a data. Thank you coursera. Keep it up!.
HR
Amazing course, amazing instructors and assignments. I really enjoyed working with Tableau.You may experience some confusion for some assignments but don't worry! Just use the discussion boards :)
TD
Learned a lot about knowing who the audience is (that I am designing a visualization for), also about use-of-color and de-cluttering my visualization.
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This course is terrible for many reasons. Firstly, the amount of content is ridiculously small - only about 20 minutes of video lectures per week. Moreover, more than 50% of content is just non-relevant.
Secondly, practical assignments are very poorly planned:
1) in weeks 3 peer graded assignment students are asked to save Tableau workbooks as twbx files, even though this feature is not supported by Tableau Public that is used in this course. The assignment itself is just opening and saving file in Tableau.
2) in weeks 4 peer graded assignment you just asked to write some vaguely defined 1 page description. It doesn't include any Tableau-related activities.
Thirdly, quizzes are ambiguous and very general.
Overall, this course is just a waste of time. For comparison, you can easily get more useful information about Tableau from the 4 minute long "Getting started" video on the Tableau website than from this course. Just wonder how Coursera allows such courses to be places on the platform.
The content might be ok but the support on this course is ridiculous. Mentors/teachers don't respond in the discussions which means assignments are poorly understood. Then 'peer graded assignments' are a joke - how can a peer grade you when they don't even understand the assignment cause its so poorly written. I got completely opposite grading from two different people, meaning one is clearly wrong but both count as my 'grade' - don't bother with this course, save up a few months and go to a real course where you can speak to the teacher and don't have depend on morons scoring your assignments.
I'm sorry but this course is just bad. The fact that the assignments are peer reviewed put you in a dead lock. You are at the mercy of "peers" that doesn't even check the answers you provide and are just plainly rude. Disappointing.
The course content is very good and lots of efforts have gone in to create this course.
**Request**
Since number of enrolled students may vary, "peer review" type questions makes it difficult to get a grade. Even if you've submitted your assignments, if there is no one to review your work, you don't get a grade. This is disappointing and very discouraging.
I request the course creators to consider this and try to make the tests such that learners can complete the course on their own. I believe this would motivate students to complete the specialization.
This is an excellent course on fundamentals of visualisation. Mixing the title with the word "Tableau" may give the wrong notion of the course content to the students (did to me at least). Ok, I am a bit harsh here as there is indeed some introduction to the Tableau Public variant. However, it is very limited. So many students may give up due to mention of Tableau (without being a Tableau course).
That said, I have now attended courses 2, 3 and 4 already as well. So I consider myself reasonably familiar with Tableau. My suggestion is the following:
1. Do this course even if it disappoints you along with course 2 (goes on the same line).
3. By end of course 2, you would learn some very cool concepts around the visualisation topic and some very interesting background reading materials. Note that the time mentioned to read the background materials is heavily understated. It took me a lot longer than 10-15 mins that they stated as recommended time to read it.
3. Once you hit courses 3, you would suddenly start realising the true power of Tableau. That course is awesome.
4. You'd see true powers of Tableau in course 4, with storyboarding where you really start seeing your viz shaping up.
I found this to be a disappointing course. Yes, its an introduction and you can't do much in an intro course... but...
The Tableau parts have no real added value on top of what's available for free on Tableau's site.
The Week 3 assignment was very frustrating, it was poorly worded and the instructions to export didn't work for the Tableau Desktop that I had installed as per the course instructions. The assignment should have been a consolidation but it was the first time that we played around with data sources.
The Week 4 assignment did not use Tableau at all.
It would have been much better to have had one example to follow through from start (obtain data, prep, import) to creating a Visualisation that was part of the course work. Then add some assignments that allow you to build on what you've already seen.
In terms of visualisation terms and concepts, this was very light and relied on some other well known (& readily available) material.
As the content was very light I was able to finish the course in a lot less time than the course overview estimates, well, everything other than the confusing Week 3 assignment.
I won't be continuing with the specialisation.
It requires to have tableau Desktop and an account of Twitter, it sould't ask to have an account on any social net and should work even for tableau Online. The level is extremely low and it goes extremely slowly.
This course focused too much on what to do with not enough on how to do it. 2 projects that made-up 60% of the grade for the course was peer-graded based upon criteria that had nothing to do with Tableau. Finally, visualizations were published to Tableau Public AND to Twitter. I see no value in publishing to 2 places and suspect that the publication to Twitter was to promote the course, the instructor, and third party sites.
Course outline is logical, content is great but the presentation videos are something to behold. Or not. The presenters speak in a bizarre rambling vernacular that I find to be infuriating. Spent five year on a ChemEng BS and another two on a BiochemEng MS and NEVER once had to suffer through a lecture as messy as these ones. They are completely lacking in clarity and professionalism. Read the transcripts of the viedeo lectures and you'll immediately see what I mean. If english is not your first language you will be confused. If it is your first language you will be frustrated. There are better online courses on data viz out there taught by genuinely intelligent and articulate professionals. I'm looking forward to taking them after I complete this series of five sloppy courses. In spite it all, I did learn a few basics and put them into practice and became familiar with a top-of-class BI viz tool. So, if you can slog through a few month of sub-amayure style teaching you just may learn someone but you'll have to be motivated to do a lot of self-directed learning.
It's a good course. I am currently in the second course in this specialization and it has already captivated me in the world of Tableau.
Also, the energy of Govind Acharya is infectious. It clearly can be seen and heard from his voice how much he is enjoying teaching this course.
Am glad I learnt a lot from this module, which I know will sharpen my skills for my chosen career path as a data scientist. Am hoping to learn more new skills to improve on my already existing skills.
final project requires you to create and use a social media account
It is highway robbery that they charge you for this course. I've gone through the entire specialization in about 7 days and this course is about 70% fluff, 27% visualization theory, (which goes out the window in the corporate world), and 3% hands on with Tableau which they will glaze over quickly and expect you to create visualizations during peer assignments. The worst part is that they stop you in the middle of lectures to quiz you about material that has not been introduced yet, expect you to memorize very nuanced Tableau details and fluff material for the quiz. You can get much more detailed material on Youtube for free, or even at Udemy for a fraction of the cost. I actually regret wasting my time on this course. Just to give you an example of how much of a waste of time this course is, this is taken verbatim from the 4th course, week 2 lecture. "Table calculation are really cool because they do a lot of stuff and it's downright magical."
It was a great learning experience on Coursera helps me a lot, Pursuing the course from Coursera will help me build my knowledge and skills. Because Coursera is a platform which is providing life-transforming learning approaches and development of personality in real business challenges understanding concepts with learning tools facilities of notes, quiz other helping guidance to makeover Monday. The discussion forum also helps in solving queries with posting comments through mail or feedback. Once again thanks to Coursera, It's a platform which can make us personality develop and learning approach. This can help us to build our potential and ability to study more with a professional network.
I am very glad for my participation in this course. As always, it´s a very good work from the Coursera team and the University, I think. I you don´t know any information, the discussion forum is open for all of you. Thank you so much.
The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
Define interactive visualization and install Tableau Public so you can start to get acquainted with it. identify and describe the various parts that make up the welcome screen, worksheet screen, and dashboard screen. You will be able to make three different charts: a line chart, a treemap, and a bar chart. You will be able to create a dashboard with those charts, and be able to add some simple dashboard interactions. You will also be able to discuss where to go for inspiration and how to get involved in the Tableau community. You will be able to discuss and apply 5 data visualization best practices and participate in a #MakeoverMonday project.
Great overview and introduction - not only to the software but also to the visualization community.
One issue I did come across was that one or two of the walkthroughs were not consistent. For example, one walkthrough designed a graph of a series of lines, and when it was carried forward to the next lesson, the colors of the lines changed. It was only a cosmetic change, and the content was the same, but I had to go back to see if I missed a step (nope); and some of the other students commented on it as well.
It\ helps to understand all the basics regarding Tableau and also how to use it and install the tableau. It covered all the fundamental;s of visualization with tableau and the quiz were also good.
Amazing course, amazing instructors and assignments. I really enjoyed working with Tableau.
You may experience some confusion for some assignments but don't worry! Just use the discussion boards :)