Книги по Big Data/DataScience

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney...

Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those...

The easy way to get started coding and analyzing data in the R programming languageStatistical Analysis with R Essentials For Dummies is your reference to all the core concepts about R―the widely used, open-source programming language and data analysis tool. This no-nonsense book gets right to the point, eliminating review material, wordy explanations, and fluff. Understand all you need to kn...

Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the sp...

Алгоритмы — это сердце программирования. От их правильного выбора зависит, будет ли программа работать мгновенно или заставит вас ждать вечность. Но как разобраться во всем этом, если вы только в начале пути? Эта яркая книга делает изучение алгоритмов и структур данных простым и увлекательным. Благодаря полноцветным иллюстрациям, схемам и наглядным примерам сложные концепции становятся понятными д...

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics.The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analyt...

As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of col...

Business decisions in any context—operational, tactical, or strategic—can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty.With this practical guide, data analysts, data scientists, and...

Introduces students to appropriate use of computer programming within the scientific disciplines using Python. Discusses several common applications of programming and implementation using real world examples and hands on programming exercises. Students learn how to model situations such as image recognition, medical diagnosis, spread of disease, and others.The text could be used by students and l...

Перед вами незаменимое руководство для тех, кто хочет быстро и эффективно освоить Python и использовать его в научной деятельности. Книга не только объясняет основы, но и демонстрирует применение языка для анализа данных, визуализации, моделирования и решения сложных исследовательских задач.Издание идеально подходит студентам, преподавателям, ученым, а также программистам — как начинающим, так и о...

Are you an experienced statistician or data professional looking for a powerful, efficient, and versatile programming language to turbocharge your data analysis and machine learning projects? Look no further! "Statistics with Rust" is your comprehensive resource to unlock Rust's true potential in modern statistical methods.This book is tailored specifically for statisticians and data professionals...

The book is designed to serve as a textbook for courses offered to undergraduate and graduate students enrolled in data science. This book aims to help the readers understand the basic and advanced concepts for developing simple programs and the fundamentals required for building machine learning models. The book covers basic concepts like data types, operators, and statements that enable the read...

An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly use...

Julia as a Second Language introduces Julia to readers with a beginning-level knowledge of another language like Python or JavaScript. You’ll learn by coding engaging hands-on projects that encourage you to apply what you’re learning immediately. Don’t be put off by Julia’s reputation as a scientific programming language—there’s no data science or numerical computing knowledge required. You can ge...

This comprehensive guide is designed to teach you the skills you need to become a top-paying data analyst. With a focus on the powerful Python programming language, you'll learn how to collect, clean, and analyze data like a pro. But that's not all - you'll also discover how to use this data to make informed business decisions and drive real results.KEY FEATURES:How to use Python's built-in librar...