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.

 

內容

x
1
2
37
Economy
73
table of contents
75
data visualization
111
table of contents
139
ElectroSkinny obtained this confidential strategy memo
145
You have what you need to run a hypothesis test
151
Histograms show frequencies of groups of numbers
262
Make histograms from subsets of your data
271
What will negotiation mean for you?
277
Prediction Regression is an incredibly powerful statistical tool that when used correctly has
279
Err well
315
The guy who asked for 25 went outside the model
321
Time
327
Error is good for you and your client 334
334

Diagnosticity helps you find the hypothesis with the least disconfirmation
160
Its a launch
167
bayesian statistics
169
TimeOnSite Pageviews ReturnVisits
170
Youve been counting false positives
175
Your chances of having lizard flu are still pretty low
181
Your first analysis
191
Starbuzz sales
194
Analyze like a human
225
Give people a hard question and theyll answer an easier one instead
231
Use a fast and frugal tree
239
Your analysis is ready to present
246
table of contents
251
12
359
A database is a collection of data with wellspecified relations to each other
365
5
366
Your summary ties article count and sales together
371
Dataville Dispatch built an RDBMS with your relationship diagram
377
Youre on the cover
383
Everything else in statistics
418
Nullalternative hypothesis testing
424
Start R
427
install excel analysis tools
431
21
435
28
442
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關於作者 (2009)

Michael Milton likes books. Before his first day of high school wrestling, he checked out a stack of books on technique from the library and practiced on his not-terribly-enthusiastic little sister. Then he spent the first few minutes of tryouts kicking the butts of other newbies, until the experienced wrestlers realized how much fun it would be to kick his. Within a few months, he became a decent wrestler, but he always stayed a bit ahead of the other newbies because of those books. His life has consisted of gleefully going through that process over and over again in completely unrelated fields. Naturally, he's a Head First fanatic. Until recently Michael spent most of time looking at databases to help nonprofit organizations figure out how to make more money. He has a degree in philosophy from New College of Florida and one in religious ethics from Yale University. When he's not in the library or the bookstore, you can find him in-line skating, taking pictures, and brewing beer.

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