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Beschreibung
Elements of Data Science is an introduction to the practical skills of working with data, written for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the real-world use of each feature.

* Step-by-Step Approach: Learn how to execute a data science project from start to finish, formulating questions, visualizing data, applying statistical methods, and communicating results.

* Practical Python Programming: This book starts with basic Python concepts and builds up to advanced data processing and analysis techniques.

* Interactive Learning: Jupyter notebooks are available for each chapter, so readers can follow along, run experiments, and build understanding through hands-on exercises.

* Solid Foundation: Explore fundamental concepts such as exploratory data analysis, statistical inference, regression analysis, classification algorithms, and more, all through the lens of real-world case studies.

Whether you're a student, a professional, or simply curious about the power of data, Elements of Data Science provides essential tools for finding insights in data.
Elements of Data Science is an introduction to the practical skills of working with data, written for people with no programming experience. Concepts are explained clearly and concisely, and exercises in each chapter demonstrate the real-world use of each feature.

* Step-by-Step Approach: Learn how to execute a data science project from start to finish, formulating questions, visualizing data, applying statistical methods, and communicating results.

* Practical Python Programming: This book starts with basic Python concepts and builds up to advanced data processing and analysis techniques.

* Interactive Learning: Jupyter notebooks are available for each chapter, so readers can follow along, run experiments, and build understanding through hands-on exercises.

* Solid Foundation: Explore fundamental concepts such as exploratory data analysis, statistical inference, regression analysis, classification algorithms, and more, all through the lens of real-world case studies.

Whether you're a student, a professional, or simply curious about the power of data, Elements of Data Science provides essential tools for finding insights in data.
Details
Erscheinungsjahr: 2021
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9780971677517
ISBN-10: 0971677514
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Downey, Allen
Hersteller: Green Tea Press
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 246 x 189 x 16 mm
Von/Mit: Allen Downey
Erscheinungsdatum: 13.05.2021
Gewicht: 0,566 kg
Artikel-ID: 130325068

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