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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
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View the notebooks online:
Excecute the notebooks in Binder:
This can take some time if the binder environment needs to be rebuilt.
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English: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python 2020: ISBN 149207294X Google books, Amazon |
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Japanese (2020-06-11): データサイエンスのための統計学入門 第2版 ―予測、分類、統計モデリング、統計的機械学習とR/Pythonプログラミング 2020: ISBN 978-4-873-11926-7, Shinya Ohashi (supervised), Toshiaki Kurokawa (translated), O'Reilly Japan Inc. Google books, Amazon, Order here |
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German (2021-03-29): Praktische Statistik für Data Scientists: 50+ essenzielle Konzepte mit R und Python 2021: ISBN 978-3-960-09153-0, Marcus Fraaß (Übersetzer), dpunkt.verlag GmbH Google books, Amazon Order here |
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Korean (2021-05-07): Practical Statistics for Data Scientists: 데이터 과학을 위한 통계(2판) 2021: ISBN 979-1-162-24418-0, Junyong Lee (translation), Hanbit Media, Inc. Google books, Order here |
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Polish (2021-06-16): Statystyka praktyczna w data science. 50 kluczowych zagadnien w jezykach R i Python 2021: ISBN 978-8-328-37427-0, Helion Google books, Amazon, Order here |
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Russian (2021-05-31): Практическая статистика для специалистов Data Science, 2-е изд. 2021: ISBN 978-5-9775-6705-3, BHV St Petersburg Google books, Order here |
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Chinese complex (2021-07-29): Practical Statistics for Data Scientists: 資料科學家的實用統計學 第二版 2021: ISBN 978-9-865-02841-1, Hong Weien (translation), GoTop Information Inc. Order here |
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Chinese simplified (2021-10-15): Practical Statistics for Data Scientists: 数据科学中的实用统计学（第2版） 2021: ISBN 978-7-115-56902-8, Chen Guangxin (translation), Posts & Telecom Press Order here |
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English (Indian subcontinent & select countries only): Practical Statistics for Data Scientists: 50+ Essential Concepts Using R And Python, Second Edition 2021: ISBN 978-8-194-43500-6, Shroff Publishers and Distributors Pvt. Ltd. Order here |
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Spanish (2022-02-22): Estadística práctica para ciencia de datos con R y Python, Second Edition 2022: ISBN 978-8-426-73443-3, Marcombo S.A. Google books, Amazon, Order here |
- The code repository for the first edition is at: https://github.com/andrewgbruce/statistics-for-data-scientists
We recommend using a conda environment to run the Python and R code.
conda create -n sfds #Create the conda environment named sfds.
conda activate sfds #Activate the environment we created.
conda env update -n sfds -f environment.yml #Update the depencies of the environment from environment.yml
The full list of Python and R dependencies from the environment.yml file:
python
jupyter
pandas
matplotlib
scipy
statsmodels
wquantiles
seaborn
scikit-learn
pygam
dmba
pydotplus
imbalanced-learn
prince
xgboost
graphviz
numpy
adjustText
r-essentials
r-base
r-vioplot
r-corrplot
r-gmodels
r-matrixstats
r-lmperm
r-pwr
r-fnn
r-klar
r-dmwr
r-xgboost
r-ellipse
r-mclust
r-ca
r-ggplot2
r-irkernel
r-boot
r-randomforest