BOOKS - Data Science Fundamentals with R, Python, and Open Data
Data Science Fundamentals with R, Python, and Open Data - Marco Cremonini 2024 PDF | EPUB Wiley BOOKS
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Data Science Fundamentals with R, Python, and Open Data
Author: Marco Cremonini
Year: 2024
Pages: 480
Format: PDF | EPUB
File size: 12.8 MB
Language: ENG



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Book Description: In this book, we will explore the fundamentals of data science using R, Python, and open data. We will start by understanding the concept of data science and its importance in today's world. We will then delve into the technical aspects of data analysis, including data cleaning, visualization, and statistical modeling. We will also discuss the importance of open data and how it can be used to gain insights into various fields such as healthcare, finance, and education. Finally, we will learn how to work with big data and how to use machine learning algorithms to solve real-world problems. Throughout the book, we will use practical examples and case studies to illustrate the concepts discussed. The book is designed to be accessible to readers who may not have prior experience in data science, but want to learn more about this exciting field. By the end of the book, readers will have a solid understanding of data science principles and be able to apply them to real-world problems. The Evolution of Technology and Its Impact on Humanity Technology has come a long way since the invention of the wheel. From simple tools made of stone and wood to complex machines that can perform tasks with precision and speed, technology has evolved at an incredible pace.
В этой книге мы рассмотрим основы науки о данных с использованием R, Python и открытых данных. Начнем с понимания концепции науки о данных и ее важности в современном мире. Затем мы углубимся в технические аспекты анализа данных, включая очистку данных, визуализацию и статистическое моделирование. Мы также обсудим важность открытых данных и то, как их можно использовать для получения информации в различных областях, таких как здравоохранение, финансы и образование. Наконец, мы научимся работать с большими данными и использовать алгоритмы машинного обучения для решения реальных задач. На протяжении всей книги мы будем использовать практические примеры и тематические исследования для иллюстрации обсуждаемых концепций. Книга разработана, чтобы быть доступной для читателей, которые могут не иметь предшествующего опыта в науке о данных, но хотят узнать больше об этой захватывающей области. К концу книги читатели получат твердое понимание принципов науки о данных и смогут применять их к реальным проблемам. Эволюция технологии и ее влияние на человечество Технология прошла долгий путь с момента изобретения колеса. От простых инструментов из камня и дерева до сложных машин, способных выполнять задачи с точностью и скоростью, технологии развивались невероятными темпами.
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