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Head First Data Analysis

A learner's guide to big numbers, statistics, and good decisions

Specificaties
Paperback, 445 blz. | Engels
O'Reilly | 1e druk, 2009
ISBN13: 9780596153939
Rubricering
O'Reilly 1e druk, 2009 9780596153939
Verwachte levertijd ongeveer 16 werkdagen

Samenvatting

There's whole world of data out there, and it's your job to make sense of it all. Where to begin? Head First Data Analysis helps you organize your data in Excel or OpenOffice, take it further with R, find meaningful patterns with scatterplots and histograms, draw conclusion using heuristics, predict the future by experimenting and testing hypotheses, and display findings with clear visualizations.

Whether you're a product developer researching the viability of a new product or service, a marketing manager gauging the effectiveness of a campaign, a salesperson presenting data to clients, or a lone entrepreneur responsible for all of these data-intensive functions and more, Head First Data Analysis is a complete learning experience for making data the most useful tool in your business.

What's so special about this book?
We think your time is too valuable to waste struggling with new concepts. 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.

Specificaties

ISBN13:9780596153939
Taal:Engels
Bindwijze:paperback
Aantal pagina's:445
Uitgever:O'Reilly
Druk:1

Over Michael Milton

Michael Milton is the author of Head First Data Analysis has spent most of his career helping nonprofit organizations improve their fundraising by interpreting and acting on the data they collect from their donors. He has a degree in philosophy from New College of Florida and one in religious ethics from Yale University. He found reading Head First to be a revelation after spending years reading boring books filled with terribly important stuff and is grateful to have the opportunity to write an exciting book filled with terribly important stuff. When he's not in the library or the bookstore, you can find him running, taking pictures, and brewing beer.

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Inhoudsopgave

Intro

1. Introduction to Data analysis: Break it down
2. Experiments: Test your theories
3. Optimization: Take it to the Max
4. Data visualization: Pictures make you smarter
5. Hypothesis testing: Say it ain't so
6. Bayesian statistics: Get fast first base
7. Subjective probabilities: Numerical belief
8. Heuristics: Analyze like a human
9. Histograms: The shape of numbers
10. Regression: Prediction
11. Error: Err well
12. Relational databases: Can you relate?
13. Cleaning data: Impose order
i: Leftovers: The top ten things (We didn't cover)
ii: Install R: Start it up!
iii: Install Excel analysis tools: The toolPak

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