--- product_id: 4540255 title: "Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions" price: "€ 86.39" currency: EUR in_stock: true reviews_count: 13 url: https://www.desertcart.at/products/4540255-head-first-data-analysis-a-learners-guide-to-big-numbers store_origin: AT region: Austria --- # Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions **Price:** € 86.39 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions - **How much does it cost?** € 86.39 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.at](https://www.desertcart.at/products/4540255-head-first-data-analysis-a-learners-guide-to-big-numbers) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description 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 findings to others. Whether you're a product developer researching the market viability of a new product or service, a marketing manager gauging or predicting the effectiveness of a campaign, a salesperson who needs data to support product presentations, or a lone entrepreneur responsible for all of these data-intensive functions and more, the unique approach in Head First Data Analysis is by far the most efficient way to learn what you need to know to convert raw data into a vital business tool. You'll learn how to: Determine which data sources to use for collecting information Assess data quality and distinguish signal from noise Build basic data models to illuminate patterns, and assimilate new information into the models Cope with ambiguous information Design experiments to test hypotheses and draw conclusions Use segmentation to organize your data within discrete market groups Visualize data distributions to reveal new relationships and persuade others Predict the future with sampling and probability models Clean your data to make it useful Communicate the results of your analysis to your audience Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Data Analysis uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep. Review: Wonderful Starting Point - This was a beautiful book that really refueled my interest for Statistics (which I've been struggling to start learning...even though I know calculus and LOVE mathematics)...but it really caught my eye because it goes into detail about the R statistical programming language. The first few chapters get you going on a specific mindset of how to interpret data, which is VERY important to keep throughout the entire reading of this book. After that groundwork is established, you are taken on a really cool journey of some Excel features (don't freak out...those of you who don't know excel proficiently will be fine in the hands of this book) that you never would've believed were there! You can even use Google Docs to do the same things if you don't have a valid copy of Excel! Finally, R comes into play with all its glory...I would've loved for a deeper dive with this technology, but there are several other books out there in which you can get down and dirty with R (http://www.desertcart.com/The-Art-Programming-Statistical-Software/dp/1593273843/ and http://www.desertcart.com/Cookbook-OReilly-Cookbooks-Paul-Teetor/dp/0596809158/ are my favorites and I own them both on my kindle). I hope that eliminates all your FUD's (Fears, Uncertainties, and Doubts)...go and grab this book RIGHT NOW! You'll be blown away with what you'll be able to do after you read everything here! P.S. It only takes about a week and a half to get through it going at a nice, slow, and comfortable pace...if you're HUNGRY like I was, you can knock it out in about 4 days. Review: a really good solid start in how to look at numerical data and avoid falling into common interpretative pit falls. - I got the book promptly. It has that softbound textbook feel. but good binding not cheap or ready to fall apart. the intormation in it so far seems interesting and well organized. its in the "head first format" which means there is a lot of nice visual lay out and side notes and some graphics to make understanding the concepts by seeing them when possible. I like that format. It is still pretty clean and gets to the point. but I have only read and used so much of it at this point so I cannot go much farther into the content than that. -- in short I think it is a solid book to get if one wants to better understand how to interpret social science numbers, or other scientific numbers that they are shown in a way that they are wise to various ways that data can be spiked and spiced. how in depth I cannot comment on as I have not fully digested the book. But it is a book that is designed to be both read and used as a topical reference. And it has the "Head First" style keeping things clean but providing insightful commentary, context and graphical illustrations where it might really speed up or enhance understanding of a particular idea or complicated example. it also uses bolding in areas where you can pay attention to the new vocabulary you might want to learn in order to lay the ground work for even more technical education in data analysis. it even has a chapter where it goes over some of the more obscure plug ins for excel that are there for helping a person analyze data. I would basically treat this book as a nice survey of both the human technical sides of data analysis. it also covers things like data collection or effective data presentation, and as I said it refers to several readily available tools like excel for example and how they can be used by someone who wanted to know how to leverage their computer in order tame and extract meaning from data they have been given to interpret. -- I think that its a useful primer that is like a survey course in the subject sans the professor. But how good each section is I cannot comment on as I have only started with the book for a several weeks. but what I did read I found completely intelligible and because I am not a total novice at looking at Data, there were times I could use its nice formatting to skip past explanations I did not need because I already was familiar with them. If I fall in love with the book I may come back and say so and make my stars 5 instead of a 4 but at this point I would highly recommend this book for anyone who wanted a nice primer that went into to a very serviceable level of detail for a primer or survey type information source. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #219,927 in Books ( See Top 100 in Books ) #48 in Data Modeling & Design (Books) #54 in Spreadsheet Books #397 in Systems & Planning | | Customer Reviews | 4.2 out of 5 stars 156 Reviews | ## Images ![Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions - Image 1](https://m.media-amazon.com/images/I/81sNE+WYAjL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Wonderful Starting Point *by O***E on January 19, 2013* This was a beautiful book that really refueled my interest for Statistics (which I've been struggling to start learning...even though I know calculus and LOVE mathematics)...but it really caught my eye because it goes into detail about the R statistical programming language. The first few chapters get you going on a specific mindset of how to interpret data, which is VERY important to keep throughout the entire reading of this book. After that groundwork is established, you are taken on a really cool journey of some Excel features (don't freak out...those of you who don't know excel proficiently will be fine in the hands of this book) that you never would've believed were there! You can even use Google Docs to do the same things if you don't have a valid copy of Excel! Finally, R comes into play with all its glory...I would've loved for a deeper dive with this technology, but there are several other books out there in which you can get down and dirty with R (http://www.amazon.com/The-Art-Programming-Statistical-Software/dp/1593273843/ and http://www.amazon.com/Cookbook-OReilly-Cookbooks-Paul-Teetor/dp/0596809158/ are my favorites and I own them both on my kindle). I hope that eliminates all your FUD's (Fears, Uncertainties, and Doubts)...go and grab this book RIGHT NOW! You'll be blown away with what you'll be able to do after you read everything here! P.S. It only takes about a week and a half to get through it going at a nice, slow, and comfortable pace...if you're HUNGRY like I was, you can knock it out in about 4 days. ### ⭐⭐⭐⭐ a really good solid start in how to look at numerical data and avoid falling into common interpretative pit falls. *by R***T on January 15, 2013* I got the book promptly. It has that softbound textbook feel. but good binding not cheap or ready to fall apart. the intormation in it so far seems interesting and well organized. its in the "head first format" which means there is a lot of nice visual lay out and side notes and some graphics to make understanding the concepts by seeing them when possible. I like that format. It is still pretty clean and gets to the point. but I have only read and used so much of it at this point so I cannot go much farther into the content than that. -- in short I think it is a solid book to get if one wants to better understand how to interpret social science numbers, or other scientific numbers that they are shown in a way that they are wise to various ways that data can be spiked and spiced. how in depth I cannot comment on as I have not fully digested the book. But it is a book that is designed to be both read and used as a topical reference. And it has the "Head First" style keeping things clean but providing insightful commentary, context and graphical illustrations where it might really speed up or enhance understanding of a particular idea or complicated example. it also uses bolding in areas where you can pay attention to the new vocabulary you might want to learn in order to lay the ground work for even more technical education in data analysis. it even has a chapter where it goes over some of the more obscure plug ins for excel that are there for helping a person analyze data. I would basically treat this book as a nice survey of both the human technical sides of data analysis. it also covers things like data collection or effective data presentation, and as I said it refers to several readily available tools like excel for example and how they can be used by someone who wanted to know how to leverage their computer in order tame and extract meaning from data they have been given to interpret. -- I think that its a useful primer that is like a survey course in the subject sans the professor. But how good each section is I cannot comment on as I have only started with the book for a several weeks. but what I did read I found completely intelligible and because I am not a total novice at looking at Data, there were times I could use its nice formatting to skip past explanations I did not need because I already was familiar with them. If I fall in love with the book I may come back and say so and make my stars 5 instead of a 4 but at this point I would highly recommend this book for anyone who wanted a nice primer that went into to a very serviceable level of detail for a primer or survey type information source. ### ⭐⭐⭐⭐⭐ Great Introduction into various Data Analysis Tools and Techniques *by E***K on September 19, 2012* Different problems need different methods to be solved properly. This book takes various examples and lets the reader work through the problems. It is actually fun to read this book. Very well explained. Of course, not all the problems worked 100%, but I have not read a book with examples and problems that all work. Especially, some of my R did not work too well. Other than that it is a great book, and a great way to learn about data analysis. ## Frequently Bought Together - Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions - Head First Statistics: A Brain-Friendly Guide - Head First Algebra: A Learner's Guide to Algebra I --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.at/products/4540255-head-first-data-analysis-a-learners-guide-to-big-numbers](https://www.desertcart.at/products/4540255-head-first-data-analysis-a-learners-guide-to-big-numbers) --- *Product available on Desertcart Austria* *Store origin: AT* *Last updated: 2026-06-03*