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Chapman and Hall/CRC Data Science: A First Introduction with Python

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Description

Master the fundamentals of data science with this comprehensive guide from Chapman and Hall/CRC. This book provides a practical foundation for using the Python programming language within Jupyter notebooks to handle real-world data tasks. You will learn how to perform essential data manipulation and cleaning, create effective visualizations, and extract meaningful insights through classification, regression, clustering, and inference. Designed with modern workflows in mind, the text focuses on methods that are clear, reproducible, and shareable. It even covers the basics of version control to help you manage your projects professionally. Because the material is built on educational research and active learning principles, it offers a structured way to build your skills. To support your learning, the book includes accompanying autograded Jupyter worksheets, making it an ideal resource for interactive, self-directed study in the field of computing and databases.

Key Features

Learn Python programming through Jupyter notebooks for hands-on data manipulation and cleaning tasks.

Develop data visualization skills to create clear and effective representations of your findings.

Extract actionable insights using core statistical methods including classification, regression, clustering, and inference.

Build professional habits with workflows designed to be clear, reproducible, and easy to share.

Gain foundational knowledge in version control to manage your data science projects effectively.

Engage in interactive learning with autograded Jupyter worksheets designed for self-directed study.

Study using methods based on educational research and active learning principles for better retention.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
23 August 2024
Listed Since
27 February 2024

Barcode

No barcode data available

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