Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Dekorationsartikel gehören nicht zum Leistungsumfang.
Data Science Essentials with R
Learn with focus on data manipulation, visualization, and machine learning (English Edition)
Taschenbuch von Abhishek Das
Sprache: Englisch

48,60 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Produkt Anzahl: Gib den gewünschten Wert ein oder benutze die Schaltflächen um die Anzahl zu erhöhen oder zu reduzieren.
Kategorien:
Beschreibung
DESCRIPTION
This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights.

This book offers a thorough introduction to data science, starting with R programming basics and advancing to ML and data visualization. Learn to clean, explore, and transform data using tools like dplyr. Key statistical concepts like probability, hypothesis testing, and modeling are covered, providing a foundation for data-driven decisions. Discover supervised and unsupervised ML techniques, feature engineering, and model evaluation. The book also provides career guidance in data science, including skill-building tips and job search strategies, equipping you to excel in this growing field.

By the end of this book, you will be able to confidently use R to prepare data for analysis and apply ML algorithms to make predictions and drive business decisions.

KEY FEATURES
¿ Master R for effective data analysis and ML.
¿ Analyze data, identify patterns, and drive informed decision-making.
¿ Learn by doing hands-on R codes and applying ML techniques.

WHAT YOU WILL LEARN
¿ Use R to clean, analyze, and visualize data effectively.
¿ Apply statistical techniques to find patterns and trends in data.
¿ Understand and implement key ML algorithms step-by-step.
¿ Data visualization techniques using ggplot2 to create informative visualizations.
¿ Strong foundation in statistical concepts, including probability theory, hypothesis testing, and statistical modeling.

WHO THIS BOOK IS FOR
This book is ideal for individuals with a basic understanding of programming and statistics who aspire to enter the field of data science. Professionals such as data analysts, software engineers, and researchers will find this book particularly valuable as it provides a practical approach to leveraging data for informed decision-making.
DESCRIPTION
This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights.

This book offers a thorough introduction to data science, starting with R programming basics and advancing to ML and data visualization. Learn to clean, explore, and transform data using tools like dplyr. Key statistical concepts like probability, hypothesis testing, and modeling are covered, providing a foundation for data-driven decisions. Discover supervised and unsupervised ML techniques, feature engineering, and model evaluation. The book also provides career guidance in data science, including skill-building tips and job search strategies, equipping you to excel in this growing field.

By the end of this book, you will be able to confidently use R to prepare data for analysis and apply ML algorithms to make predictions and drive business decisions.

KEY FEATURES
¿ Master R for effective data analysis and ML.
¿ Analyze data, identify patterns, and drive informed decision-making.
¿ Learn by doing hands-on R codes and applying ML techniques.

WHAT YOU WILL LEARN
¿ Use R to clean, analyze, and visualize data effectively.
¿ Apply statistical techniques to find patterns and trends in data.
¿ Understand and implement key ML algorithms step-by-step.
¿ Data visualization techniques using ggplot2 to create informative visualizations.
¿ Strong foundation in statistical concepts, including probability theory, hypothesis testing, and statistical modeling.

WHO THIS BOOK IS FOR
This book is ideal for individuals with a basic understanding of programming and statistics who aspire to enter the field of data science. Professionals such as data analysts, software engineers, and researchers will find this book particularly valuable as it provides a practical approach to leveraging data for informed decision-making.
Details
Erscheinungsjahr: 2024
Fachbereich: Betriebssysteme & Benutzeroberflächen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789365895292
ISBN-10: 9365895294
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Das, Abhishek
Hersteller: BPB Publications
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 15 mm
Von/Mit: Abhishek Das
Erscheinungsdatum: 30.12.2024
Gewicht: 0,51 kg
Artikel-ID: 130890656
Details
Erscheinungsjahr: 2024
Fachbereich: Betriebssysteme & Benutzeroberflächen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9789365895292
ISBN-10: 9365895294
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Das, Abhishek
Hersteller: BPB Publications
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 235 x 191 x 15 mm
Von/Mit: Abhishek Das
Erscheinungsdatum: 30.12.2024
Gewicht: 0,51 kg
Artikel-ID: 130890656
Sicherheitshinweis

Ähnliche Produkte

Ähnliche Produkte