English | 2023 | ISBN: 1230006386443 | 165 pages | True EPUB | 5.46 MB

"Data Science with Python for Beginners" is a comprehensive guidebook that introduces readers to the fundamental concepts and practical applications of data science using the Python programming language. The book begins with an introduction to the basics of data science, including data types, structures, and statistical concepts.
Next, readers are introduced to the Python programming language and its various libraries commonly used in data science, such as NumPy, Pandas, Matplotlib, and Scikit-learn. The book then covers a range of essential data science techniques, including data cleaning, exploratory data analysis, data visualization, and machine learning.
Throughout the book, readers will gain hands-on experience with Python programming and data science techniques through a series of practical examples and exercises. By the end of the book, readers will have a solid understanding of the principles and techniques of data science, as well as the skills to apply them to real-world problems.
Whether you are a student, a professional, or someone looking to start a career in data science, "Data Science with Python for Beginners" provides a solid foundation for mastering this in-demand field.

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