Think Stats. 3rd Edition - Helion

ebook

Autor: Allen B. Downey
ISBN: 9781098190224
stron: 324, Format: ebook
Data wydania: 2025-04-04
Księgarnia: Helion

Cena książki: 228,65 zł (poprzednio: 265,87 zł)
Oszczędzasz: 14% (-37,22 zł)

Osoby, które kupiły tę książkę, wybierały także »

Tagi: Python - Programowanie

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis—from wrangling data and generating statistics to identifying patterns and testing hypotheses.

Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place.

Analyze data distributions and visualize patterns using Python libraries
Improve predictions and insights with regression models
Dive into specialized topics like time series analysis and survival analysis
Integrate statistical techniques and tools for validation, inference, and more
Communicate findings with effective data visualization
Troubleshoot common data analysis challenges
Boost reproducibility and collaboration in data analysis projects with interactive notebooks

Osoby które kupowały "Think Stats. 3rd Edition", wybierały także:

Twórz gry w Pythonie. Kurs video. Poznaj bibliotekę PyGame 234,71 zł, (39,90 zł -83%)
Machine Learning i język Python. Kurs video. Praktyczne wykorzystanie popularnych bibliotek 234,71 zł, (39,90 zł -83%)
Web scraping w Pythonie. Kurs video. Od pobrania kodu 190,00 zł, (39,90 zł -79%)
Sztuczna inteligencja w Azure. Kurs video. Uczenie maszynowe i Azure Machine Learning Service 190,00 zł, (39,90 zł -79%)
Python od zera. Kurs video. Programuj wydajnie! 190,00 zł, (39,90 zł -79%)

Spis treści

Think Stats. 3rd Edition eBook -- spis treści

Preface
- Whats New?
- Using the Code
- Conventions Used in This Book
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
1. Exploratory Data Analysis
- Evidence
- The National Survey of Family Growth
- Reading the Data
- Validation
- Transformation
- Summary Statistics
- Interpretation
- Glossary
- Exercises
  - Exercise 1.1
  - Exercise 1.2
  - Exercise 1.3
2. Distributions
- Frequency Tables
- NSFG Distributions
- Outliers
- First Babies
- Effect Size
- Reporting Results
- Glossary
- Exercises
  - Exercise 2.1
  - Exercise 2.2
  - Exercise 2.3
3. Probability Mass Functions
- PMFs
- Summarizing a PMF
- The Class Size Paradox
- NSFG Data
- Other Visualizations
- Glossary
- Exercises
  - Exercise 3.1
  - Exercise 3.2
  - Exercise 3.3
4. Cumulative Distribution Functions
- Percentiles and Percentile Ranks
- CDFs
- Comparing CDFs
- Percentile-Based Statistics
- Random Numbers
- Glossary
- Exercises
  - Exercise 4.1
  - Exercise 4.2
  - Exercise 4.3
  - Exercise 4.4
  - Exercise 4.5
5. Modeling Distributions
- The Binomial Distribution
- The Poisson Distribution
- The Exponential Distribution
- The Normal Distribution
- The Lognormal Distribution
- Why Model?
- Glossary
- Exercises
  - Exercise 5.1
  - Exercise 5.2
  - Exercise 5.3
6. Probability Density Functions
- Comparing Distributions
- Probability Density
- The Exponential PDF
- Comparing PMFs and PDFs
- Kernel Density Estimation
- The Distribution Framework
- Glossary
- Exercises
  - Exercise 6.1
  - Exercise 6.2
7. Relationships Between Variables
- Scatter Plots
- Decile Plots
- Correlation
- Strength of Correlation
- Rank Correlation
- Correlation and Causation
- Glossary
- Exercises
  - Exercise 7.1
  - Exercise 7.2
  - Exercise 7.3
  - Exercise 7.4
  - Exercise 7.5
8. Estimation
- Weighing Penguins
- Robustness
- Estimating Variance
- Sampling Distributions
- Standard Error
- Confidence Intervals
- Sources of Error
- Glossary
- Exercises
  - Exercise 8.1
  - Exercise 8.2
  - Exercise 8.3
  - Exercise 8.4
  - Exercise 8.5
  - Exercise 8.6
9. Hypothesis Testing
- Flipping Coins
- Testing a Difference in Means
- Other Test Statistics
- Testing a Correlation
- Testing Proportions
- Glossary
- Exercises
  - Exercise 9.1
  - Exercise 9.2
10. Least Squares
- Least Squares Fit
- Coefficient of Determination
- Minimizing MSE
- Estimation
- Visualizing Uncertainty
- Transformation
- Glossary
- Exercises
  - Exercise 10.1
  - Exercise 10.2
  - Exercise 10.3
11. Multiple Regression
- StatsModels
- On to Multiple Regression
- Control Variables
- Nonlinear Relationships
- Logistic Regression
- Glossary
- Exercises
  - Exercise 11.1
  - Exercise 11.2
  - Exercise 11.3
  - Exercise 11.4
12. Time Series Analysis
- Electricity
- Decomposition
- Prediction
- Multiplicative Model
- Autoregression
- Moving Average
- Retrodiction with Autoregression
- ARIMA
- Prediction with ARIMA
- Glossary
- Exercises
  - Exercise 12.1
  - Exercise 12.2
  - Exercise 12.3
13. Survival Analysis
- Survival Functions
- Hazard Function
- Marriage Data
- Weighted Bootstrap
- Estimating Hazard Functions
- Estimating Survival Functions
- Lifelines
- Confidence Intervals
- Expected Remaining Lifetime
- Glossary
- Exercises
  - Exercise 13.1
  - Exercise 13.2
14. Analytic Methods
- Normal Probability Plots
- Normal Distributions
- Distribution of Sample Means
- Distribution of Differences
- Central Limit Theorem
- The Limits of the Central Limit Theorem
- Applying the CLT
- Correlation Test
- Chi-squared Test
- Computation and Analysis
- Glossary
- Exercises
  - Exercise 14.1
  - Exercise 14.2
  - Exercise 14.3
  - Exercise 14.4
Index