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

封面
"O'Reilly Media, Inc.", 2009年7月17日 - 484 頁

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.

 

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LibraryThing Review

用戶評語  - jacobusp - LibraryThing

Very good, practical book. It explains how to use both Excel and R for data analysis. In the examples, it goes beyond the first layer of simple analysis and asks the "what if" questions -- great training for the junior analyst. 閱讀評論全文

LibraryThing Review

用戶評語  - BizCoach - LibraryThing

Very practical book on how to use the various types of data analysis. It's part information and part work-book. Uses graphics, text, and exercises to really get you to learn. 閱讀評論全文

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內容

Break it Down
1
Test Your Theories
37
Take It to The Max
75
Pictures Make You Smarter
111
Say It Aint So
139
Get Past First Base
169
Chapter 7 Subjective Probabilities Numerical Belief
191
Analyze Like a Human
225
Prediction
279
Err Well
315
Can You Relate?
359
Impose Order
385
Leftovers The Top Ten Things we didnt cover
417
Install R Start R Up
427
Install Excel Analysis Tools The ToolPak
431
Index
435

The Shape of Numbers
251

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