Learning Tableau 2019 - Third Edition: Tools for Business Intelligence, data prep, and visual analytics

Thorough coverage of Tableau fundamental concepts. Mirrors Tableau level 1 & 2 certification learning courses perfectly, and is excellent refresher pre exam.

Shipped fast, one of best books I have found on this topic

The overall is good but lack of advance features of Tableau. Recommend for new users for Tableau Desktop and Public.

This is a great resource for anyone learning Tableau or wanting to extend their learning. I've worked through many of the samples / examples and they are explained clearly and thoughtfully. The detail provided is terrific.I've looked at many Tableau books and this remains one of the best.

Item came as described and delivered quickly.

Although the book is well written, it is not good for preparing the Tableau Desktop Specialist exam. You can easily find all studying materials in Tableau Help site. I also recommended the online course in Udemy by Phillip Burton. Materials from Tableau Help site + Phillip course + Practise tests from Udemy will be more than enough to pass the exam.

In general, I don’t like PACKT books. Sorry. The books are often rushed.Three exceptions to this rule – amazing (!) PACKT books:- Python Machine Learning by Dr. Sebastian Raschka- Deep Reinforcement Learning by Maxim Lapan- Learning Tableau 2019 by Joshua N. Milligan (this book)The genius about Joshua’s book is in my opinion, that it covers about 95% (or two standard deviations) of what we need regularly with Tableau in less than 500 pages.This is a major accomplishment. Often, in particular with paid video courses, the authors try to show overwhelm (confuse?) you with their knowledge.Some personal highlights:- Page 129: the author often adds context to a question to be solved. E.g. Which patients fall outside the normal range?- Page 153: excellent explanation of row-level calculations vs. aggregation. Often, the authors encourages us to replicate the scenario for better understanding.- Page 164: LOD’s. Many authors struggle with making images + text readable in a book. Joshua succeeds.- Page 183: Table Calculations. I’ve spent countless days replicating samples from blogs, but there can be a major difference between free content and paid. In this case, Joshua’s paid content is again fantastic.- Page 191: Brilliant explanation of scope and direction (with images). Another reason why I love reading printed books: I can highlight, mark, add notes ….- Page 314: Trend line. In which business case would you need logarithmic? Maybe if we have diminishing returns? I’ve never seen such excellent descriptions.- Page 333: I love the 1 and 2 standard deviation distribution bands. It never occurred to me that I can expand it to 4, 5, 6 standard deviations….sweet!- Page 347: Good data structure – tall and narrow instead of short and wide. Great!- Page 457 made my day: Background Transparency. I had to test it immediately. With the right background image, this looks amazing!Negative? I would have paid 50% more for a book in full color.If you want to become a Tableau power user, I strongly encourage you to consider this book. For video material, Tableau’s paid e-learning is probably the very best investment. E-learning is magnitudes better than any paid or unpaid video course. OK, one exception is Martin’s Udemy course on Advanced LOD.Thank you for sharing your knowledge with us Joshua!

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