Data Science (Chapman & Hall/CRC Data Science Series) by Tiffany Timbers, Trevor Campbell, Melissa Lee
English | August 22, 2024 | ISBN: 103257223X | 452 pages | MOBI | 23 Mb
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.
Key Features:Includes autograded worksheets for interactive, self-directed learning.Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair.Is designed for a broad audience of learners from all backgrounds and disciplines.
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iscusses the implementation of various data structures such as an array, stack, queue, tree and graph along with sorting and searching algorithms.Includes programming tips to highlight important concepts and help readers avoid common programming errors.Presents each concept of data structure with a different approach and implements the same using Python programming.Offers rich chapter-end pedagogy including objective-type questions (with answers), review questions and programming exercises to facilitate review.Covers fundamentals of Python up to object-oriented concepts including regular expression.It is primarily written for senior undergraduate, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering and information technology.
