发帖
雷达卡
Michael Milton, “Head First Data Analysis”
O’Reilly Media, Inc. | 2009 | ISBN: 0596153937 | 484 pages | PDF | 23,1 MB
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.
Head First Data Analysis
Table of Contents (Summary)
Intro xxvii
1 Introduction to Data Analysis: Break It Down 1
2 Experiments: Test Your Theories 37
3 Optimization: Take It to the Max 75
4 Data Visualization: Pictures Make You Smarter 111
5 Hypothesis Testing: Say It Ain’t So 139
6 Bayesian Statistics: Get Past First Base 169
7 Subjective Probabilities: Numerical Belief 191
8 Heuristics: Analyze Like a Human 225
9 Histograms: The Shape of Numbers 251
10 Regression: Prediction 279
11 Error: Err Well 315
12 Relational Databases: Can You Relate? 359
13 Cleaning Data: Impose Order 385
i Leftovers: The Top Ten Things (We Didn’t Cover) 417
ii Install R: Start R Up! 427
iii Install Excel Analysis Tools: The ToolPak 431
京公网安备 11010802022788号
