Name: Beginning Data Science in R Data Analysis, Visualization, and Modelling: Hands-On Tutorials (en Inglés)
SKU: 57224245
Price: 45.91 USD
Availability: InStock
Author: Ch, Balakrishna ; B, Santhosh Kumar ; S, Sathishkumar
ISBN: 9781312154742

portada Beginning Data Science in R Data Analysis, Visualization, and Modelling: Hands-On Tutorials (en Inglés)

Beginning Data Science in R Data Analysis, Visualization, and Modelling: Hands-On Tutorials (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

230

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x1.2 cm

Peso

0.31 kg.

ISBN13

9781312154742

Categorías

Diseño y teoría de bases de datos
Arquitectura de la información

Beginning Data Science in R Data Analysis, Visualization, and Modelling: Hands-On Tutorials (en Inglés)

Santhosh Kumar B (Autor) · Balakrishna Ch (Autor) · Sathishkumar S (Autor) · Lulu.com · Tapa Blanda

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Reseña del libro "Beginning Data Science in R Data Analysis, Visualization, and Modelling: Hands-On Tutorials (en Inglés)"

Welcome to "Beginning Data Science in R: Data Analysis, Visualization, and Modeling." In this book, we embark on an exciting journey into the world of data science using the R programming language. Whether you're a novice seeking to explore the fundamentals or an experienced practitioner looking for a comprehensive reference, this book is designed to be your companion. Data science has become an integral part of decision-making processes across various industries. From understanding customer behavior to predicting market trends and making informed business choices, the power of data analysis, visualization, and modeling cannot be overstated. R, with its extensive ecosystem of packages and tools, has emerged as a preferred choice for data scientists due to its versatility and ability to handle complex analytical tasks. Our aim in this book is to provide you with a solid foundation in data science techniques using R. We will guide you through the entire data science workflow, from data acquisition and cleaning to exploratory data analysis, visualization, and building predictive models. Each chapter is carefully crafted to introduce concepts progressively, with hands-on examples and practical exercises to reinforce your understanding.