Data Science Fundamentals with R, Python, and Open Data

Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projectsOrganized with a strong focus on open data, This book discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStud...

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Bibliographic Details
Main Author Cremonini, Marco
Format eBook Book
LanguageEnglish
Published Hoboken, New Jersey John Wiley & Sons 2024
Wiley
John Wiley & Sons, Incorporated
John Wiley & Sons (US)
Edition1
Subjects
Data mining
General Engineering & Project Administration
General References
Information technology
Programming Languages
Python (Computer program language)
R (Computer program language)
Software Engineering
Online AccessGet full text
ISBN9781394213245
1394213247
DOI10.1002/9781394213276

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Summary:Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start data science projectsOrganized with a strong focus on open data, This book discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the two. The text examines intricacies and inconsistencies often found in real data, explaining how to recognize them and guiding readers through possible solutions, and enables readers to handle real data confidently and apply transformations to reorganize, indexing, aggregate, and elaborate.This book is full of reader interactivity, with a companion website hosting supplementary material including datasets used in the examples and complete running code (R scripts and Jupyter notebooks) of all examples. Exam-style questions are implemented and multiple choice questions to support the readers' active learning. Each chapter presents one or more case studies.
Bibliography:Summary:"Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."--Provided by publisher
Includes index
ISBN:9781394213245
1394213247
DOI:10.1002/9781394213276