Head First Data Analysis

Head First Data Analysis Front Cover
20 Reviews
486 pages

Book 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 , where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the

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 and more, the unique approach in Head First Data 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.

Table of Contents

Chapter 1 introduction to data analysis: Break it down
Chapter 2 experiments: Test your theories
Chapter 3 optimization: Take it to the max
Chapter 4 data : Pictures make you smarter
Chapter 5 hypothesis : Say it ain’t so
Chapter 6 bayesian statistics: Get past first base
Chapter 7 subjective probabilities: Numerical belief
Chapter 8 heuristics: Analyze like a human
Chapter 9 histograms: The shape of numbers
Chapter 10 regression: Prediction
Chapter 11 error: Err Well
Chapter 12 relational : Can you relate?
Chapter 13 cleaning data: Impose order
Appendix I: leftovers: The Top Ten Things (we didn't cover)
Appendix II: install R: Start R up!

Book Details

  • Title: Head First Data Analysis
  • Author:
  • Length: 486 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2009-08-04
  • ISBN-10: 0596153937
  • ISBN-13: 9780596153939
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