Books — statistics

EN
15 Math Concepts Every Data Scientist Should Know

15 Math Concepts Every Data Scientist Should Know

A

David Hoyle

AI and ML
EN
Data Science For Dummies

Data Science For Dummies

A

Lillian Pierson

AI and ML
EN
Data Science from Scratch: First Principles with Python, Second Edition

Data Science from Scratch: First Principles with Python, Second Edition

A

Joel Grus

AI and ML
RU
Joel Grus - Data Science from Scratch - 2017

Joel Grus - Data Science from Scratch - 2017

F
WEB development
EN
Data Science from Scratch

Data Science from Scratch

A

Joel Grus

AI and ML
EN
Bayesian Analysis with Python Third Edition: A practical guide to probabilistic modeling

Bayesian Analysis with Python Third Edition: A practical guide to probabilistic modeling

A

Osvaldo Martin

Algorithms and theory
RU
Fundamentals of Data Analysis in R

Fundamentals of Data Analysis in R

A

Никита Ткаченко

AI and ML
EN
Data Science For Dummies, 3rd Edition

Data Science For Dummies, 3rd Edition

A

Lillian Pierson

AI and ML
EN
Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence

Basic Math for AI: A Beginner’s Quickstart Guide to the Mathematical Foundations of Artificial Intelligence

A

Andrew Hinton

Algorithms and theory
RU
Wickham H. - Learning Shiny - 2022

Wickham H. - Learning Shiny - 2022

A

Х. Уикем

Programming languages
RU
Roig-Fusté J. M. - Python for Psychology, Social Sciences, and Education - 2026

Roig-Fusté J. M. - Python for Psychology, Social Sciences, and Education - 2026

A

J. M. Roig-Fusté

Programming languages
RU
Python for Data Analysis. Data Processing, Statistical Modeling, and Machine Learning

Python for Data Analysis. Data Processing, Statistical Modeling, and Machine Learning

B

Уэс Маккинни

AI and ML
RU
Learning Data Science. Data Processing, Exploration, Visualization, and Modeling with Python

Learning Data Science. Data Processing, Exploration, Visualization, and Modeling with Python

A

Сэм Лау, Джозеф Гонсалес, Дебора Нолан

Algorithms and theory
RU
Causal Analysis in Data Science

Causal Analysis in Data Science

A

Алекс Руис де Вилья Роберт

AI and ML
EN
Statistics with Rust: 50+ Statistical Techniques Put into Action

Statistics with Rust: 50+ Statistical Techniques Put into Action

A

Keiko Nakamura

Programming languages
EN
The Book of R: A First Course in Programming and Statistics, 2nd Edition

The Book of R: A First Course in Programming and Statistics, 2nd Edition

A

Tilman M. Davies

Programming languages
RU
Shipunov A.B., Baldin E.M., Volkova P.A., et al. Visual Statistics

Shipunov A.B., Baldin E.M., Volkova P.A., et al. Visual Statistics

A

А. Б. Шипунов, Е. М. Балдин, П. А. Волкова

Algorithms and theory
RU
Statistical Methods for Data Mining.PDF

Statistical Methods for Data Mining.PDF

F

Леонид Мыльников

Algorithms and theory
RU
Statistics and Experimental Design for the Uninitiated: How to Stop Statistics from Lying

Statistics and Experimental Design for the Uninitiated: How to Stop Statistics from Lying

A

Майкл Х. Херцог, Грегори Фрэнсис, Аарон Кларк

Algorithms and theory
RU
Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

Statistics Without Tricks: Methods for Critical Data Analysis and Causal Inference

A

Итан Буэно де Мескита, Энтони Фаулер

Algorithms and theory
RU
Web Data Collection with R 2017 Khramov

Web Data Collection with R 2017 Khramov

F

Дмитрий Храмов

Programming languages
RU
Data Science Interview Preparation Guide

Data Science Interview Preparation Guide

A

Ренат Алимбеков

IT management
RU
Regression: Theory and Practice. With Examples in R and Stan

Regression: Theory and Practice. With Examples in R and Stan

A

Эндрю Гельман, Дженнифер Хилл, Аки Вехтари

Programming languages
RU
Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

Mathematics for Data Science. Managing Data with Linear Algebra, Probability Theory, and Statistics

A

Томас Нилд

Algorithms and theory
RU
Data Science: A Learning Course

Data Science: A Learning Course

A

Стивен С. Скиена

AI and ML
RU
Visual Statistics. Using R!

Visual Statistics. Using R!

A

А. Б. Шипунов, Е. М. Балдин, П. А. Волкова, А. И. Коробейников, С. А. Назарова, С. В. Петров, В. Г. Суфиянов

AI and ML
RU
Diving into Data Analytics

Diving into Data Analytics

A

Джордж Маунт

AI and ML
RU
Mathematical Packages: R

Mathematical Packages: R

D

В. А. Шишкин

Algorithms and theory
RU
Cook D. Machine Learning with

Cook D. Machine Learning with

F

Д. Кук

AI and ML
RU
How Not to Be Wrong: The Power of Mathematical Thinking

How Not to Be Wrong: The Power of Mathematical Thinking

A

Джордан Элленберг

Algorithms and theory
RU
Statistics has played a key role in scientific understanding of the world for centuries, and in the era of big data, a basic grasp of this discipline and statistical literacy become critically important. David Spiegelhalter invites you on a fascinating, technically unburdened introduction to the theory and practice of statistics.

Statistics has played a key role in scientific understanding of the world for centuries, and in the era of big data, a basic grasp of this discipline and statistical literacy become critically important. David Spiegelhalter invites you on a fascinating, technically unburdened introduction to the theory and practice of statistics.

B

Дэвид Шпигельхалтер

Algorithms and theory
RU
Probabilistic Programming in Python: Bayesian Inference and Algorithms

Probabilistic Programming in Python: Bayesian Inference and Algorithms

A

Кэмерон Дэвидсон-Пайлон

Algorithms and theory
RU
Mathematics in Machine Learning

Mathematics in Machine Learning

A

Марк Питер Дайзенрот, А. Альдо Фейзал, Чен Сунь Он

Algorithms and theory
RU
Naked Statistics The Most Interesting Book About the Most Boring Science 2016

Naked Statistics The Most Interesting Book About the Most Boring Science 2016

F

Чарльз Уилан

Algorithms and theory
RU
Big Data. Why, What, and How?

Big Data. Why, What, and How?

A

Алена Запорожан

AI and ML
RU
Biometrics in MS Excel: A Study Guide

Biometrics in MS Excel: A Study Guide

A

Е. Я. Лебедько, А. М. Хохлов, Д. И. Барановский, О. М. Гетманец

Algorithms and theory
RU
Data Analysis Workshop with Python and R

Data Analysis Workshop with Python and R

A

О.А. Баюк, М.Р. Исаева, М.О. Самсонкин

AI and ML
RU
Computer Data Analysis

Computer Data Analysis

A

Ю.Н. Тюрин, А.А. Макаров

AI and ML
EN
Statistics Every Programmer Needs

Statistics Every Programmer Needs

A

Gary Sutton

Algorithms and theory
EN
Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data

Statistics Slam Dunk: Statistical Analysis with R on Real NBA Data

A

Gary Sutton

Algorithms and theory
RU
Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Science Professionals: 50+ Essential Concepts Using R and Python

A

Питер Брюс, Эндрю Брюс, Питер Гедек

Algorithms and theory
EN
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

A

Thomas Nield

AI and ML
EN
Advancing into Analytics: From Excel to Python and R

Advancing into Analytics: From Excel to Python and R

A

George Mount

AI and ML
EN
The Statistics and Calculus with Python Workshop

The Statistics and Calculus with Python Workshop

A

Peter Farrell, Alvaro Fuentes, Ajinkya Sudhir Kolhe, Quan Nguyen, Alexander Joseph Sarver, Marios Tsatsos

Algorithms and theory
EN
Statistics and Data Visualisation with Python

Statistics and Data Visualisation with Python

A

Jesús Rogel-Salazar

AI and ML
RU
Machine Reason and Mathematics Artificial Intelligence

Machine Reason and Mathematics Artificial Intelligence

F

Игнаси Белда

Programming languages
EN
R Programming: A Step-by-Step Guide for Absolute Beginners

R Programming: A Step-by-Step Guide for Absolute Beginners

A

Daniel Bell

Programming languages
EN
R in Action: Data analysis and graphics with R, Second Edition

R in Action: Data analysis and graphics with R, Second Edition

A

Robert I. Kabacoff

Algorithms and theory
EN
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

A

Peter Bruce, Andrew Bruce, Peter Gedeck

Algorithms and theory
RU
R Cookbook: Proven Recipes for Statistics, Data Analysis, and Visualization

R Cookbook: Proven Recipes for Statistics, Data Analysis, and Visualization

A

Дж. Д. Лонг, Пол Титор

Algorithms and theory
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