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Practical Statistics for Data Scientists:
50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck
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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
Run the following commands in R to install all required packages
if (!require(vioplot)) install.packages('vioplot')
if (!require(corrplot)) install.packages('corrplot')
if (!require(gmodels)) install.packages('gmodels')
if (!require(matrixStats)) install.packages('matrixStats')
if (!require(lmPerm)) install.packages('lmPerm')
if (!require(pwr)) install.packages('pwr')
if (!require(FNN)) install.packages('FNN')
if (!require(klaR)) install.packages('klaR')
if (!require(DMwR)) install.packages('DMwR')
if (!require(xgboost)) install.packages('xgboost')
if (!require(ellipse)) install.packages('ellipse')
if (!require(mclust)) install.packages('mclust')
if (!require(ca)) install.packages('ca')
We recommend to use a conda environment to run the Python code.
conda create -n sfds python
conda activate sfds
conda env update -n sfds -f environment.yml