Data Science Fundamentals with R, Python, and Open Data pdf

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Data Science Fundamentals with R, Python, and Open Data

Marco Cremonini


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The book "Data Science Fundamentals with R, Python, and Open Data" by Marco Cremonini is an excellent guide for those who want to learn the fundamentals of Data Science using Python, R, and open data. The author explains key data analysis concepts and demonstrates their practical applications with the two leading programming languages — Python and R. A special focus is given to leveraging open data for practical examples and solving real-world problems.

The book combines accessible theory with step-by-step instructions and examples. Detailed explanations, real-world scenarios, and hands-on projects will help you master the basics of Data Science and apply them in your work. Download "Data Science Fundamentals with R, Python, and Open Data" in PDF to start your journey into data analysis today!

What Is the Book "Data Science Fundamentals with R, Python, and Open Data" About?

This edition covers the core aspects of data analysis and teaches you how to solve problems using R and Python. You will learn:

  • The Basics of Data Science: An introduction to data analysis concepts and key workflow stages.
  • Using Python and R for Data Analysis: Practical use of libraries like Pandas, NumPy, ggplot2, and more.
  • Working with Open Data: Methods for finding, cleaning, and analyzing data from open sources.
  • Data Visualization: Creating charts and graphs to interpret and present analysis results.
  • Statistics and Machine Learning Applications: Introduction to basic algorithms and their practical applications.
  • Projects and Tasks: Solving real-life cases based on open data.

Who Is This Textbook For?

  • Aspiring Data Analysts: Those who want to master essential Data Science tools and learn to work with data using Python and R.
  • Students and Researchers: Ideal for understanding step-by-step methodologies with open data.
  • Data Processing Professionals: For improving skills with modern libraries and algorithms.
  • Developers and Programmers: Those looking to add data analysis to their programming expertise.
  • Journalists and Enthusiasts: Perfect for open data-driven projects and investigations.

More About the Author of the Book

Marco Cremonini

He is an Assistant Professor in the Department of Social and Political Sciences at the University of Milan, Italy. He serves as an Academic Editor and Board Member for PLOS ONE. His research focuses on computational network and agent-based models of propagation and behavior.

FAQ for "Data Science Fundamentals with R, Python, and Open Data"

1. Which programming languages are covered in the book?

The book covers Python and R — two of the most popular languages for data analysis and processing.

2. What is open data, and why is it important?

Open data refers to freely accessible datasets that can be used for research, analysis, and real-world applications.

3. Do I need prior knowledge of Python or R to understand the material?

No, the author introduces the basics of both programming languages, making it suitable for beginners.

4. What practical tasks are included in the book?

Tasks include data cleaning, visualization creation, trend analysis, and implementing simple machine learning models.

5. What level of statistics is required to follow the book?

The book explains foundational statistical concepts, so knowledge equivalent to an introductory statistics course is sufficient.

6. Can I apply the book's knowledge to real-world projects?

Yes, all examples and methods provided can be directly used for practical data analysis and visualization in real-world scenarios.

Information

Author: Marco Cremonini Language: English
Publisher: Wiley ISBN-13: 978-1394213245
Publication Date: April 16, 2024 ISBN-10: 1394213247
Print Length: 480 pages Category: Python Books


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