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Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions
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Head First Data Analysis: A Learner's Guide to Big Numbers, Statistics, and Good Decisions (Head First Series)

3.64 of 5 stars 3.64  ·  rating details  ·  109 ratings  ·  19 reviews
Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your ...more
Paperback, 486 pages
Published August 4th 2009 by O'Reilly Media (first published January 1st 2009)
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Franco Arda
I wish I had this book during my MBA.

Rather then another praise for this great Head First book, some really good topics in this book:

How to use the method of comparison and make them explicit.

Falsification vs. satisficing. Falsification as the heart of hypothesis testing.

Ah, the problem with the first base: I've never seen a better explanation of the Bayes' rule.

The subject
A while ago, I read an article that said statistician is the hottest growing field, so I picked up this book.

And I don't remember even one thing from this book, other than it used a mix of Excel and R to get the job done. The lack of memory says more about me than about the book. I'll have to pick it up again and re-read it. This is just a placeholder.
This book covers a wide range of topics with a good balance of depth and non-academic scenarios. It will not make the reader a mathematician but it will certainly introduce them to a variety of data analysis tools.
Do not get fooled about the star I had given to it. This is not a bad book, it is just matter of quality it pursues. This is quite good book with regards to its aim - newbies who would like to understand what happens in data analysis, and eventually forget it after reading. Because the book is more than glorified version of help documents, and less than a academic, hard to read books as it used to be. I mean the book is not recommendable to whom seriously want to study it, with statistical basis ...more
Hans de Zwart
The "Head First" series has a refreshing ambition: to create books that help people learn. They try to do this by following a set of evidence-based learning principles. Things like repetition, visual information and practice are all incorporated into the book. This good introduction to data analysis, in the end only scratches the surface and was a bit too simplistic for my taste. I liked the refreshers around hypothesis testing, solver optimisation in Excel, simple linear regression, cleaning up ...more
Decent book. Some typos, but not unrecoverable to get at what is needed. Some presumption of MS Excel knowledge. A bit dated, since MS forces you to use the StatPlus package, no longer offering the Data Analysis add-on. It will definitely be a jump-off point to diving into more Stats and Analysis work. R seems powerful and the one great example at the end of the book showed me some great hotness graphically. It is a good workout.
Eric Wallace
Much more simplistic than I was expecting, as it merely grazes a few basic concepts. I was hoping for more content on statistics and using the R software, but I'll have to seek that elsewhere. Nevertheless, the Head First series of books are easy to read (and occasionally mildly amusing too), so this was a breeze.
Christian Brumm
Gute Einfuehrung in die Datenanalyse im gewohnten "heads first" format (Gehirnfreundlich und unserioes :)). Auf Verstaendnis einiger grundlegender Konzepte (e.g. Regression, Bayes) und minimale Einfuehrung in einige Tools (R, Datenbanken) ausgerichtet. Netter Ueberblick, natuerlich nicht allzuviel Tiefe.
Very basic stuff, but a really good starting point for people wanting to learn about data analysis in general. Accessible, but still deals with a host of important issues in a good way. You don't come by that often in this particular domain of knowledge.
Super basic, so I didn't really learn anything *new*, but I guess I got a better idea of what analysts are actually supposed to do.
I also liked the idea of the presentation, though a lot of it looks kinda tacky.
Hard to get into this if you don't have some time dedicated to reading and going through the exercises. Good examples and use cases!
Hayyu Alynda
Bagus dan cara penyajiannya sangat menarik tapi isinya banyak yang diulang-ulang. Penting buat basic knowledge data analysis.


Kevin Powe
Great primer on data analysis with a perfect mix of theoretical and practical, as always for the Head First range.
Not a bad introduction to data analysis, a little on the basic side, not sure how much will translate to actual work.
Harit Himanshu
This book is really good.

This has changed the way I look at numbers, entirely. very much recommended!
A good book to understand the basic of data analysis...
Tommy Powell
A good introduction, but... a mile wide and an inch deep.
Thomas Plotkowiak
A nice read although a bit too easy...
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