Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

Price: $49.99 – $42.65
(as of Jan 18,2025 04:11:33 UTC – Details)

Publisher ‏ : ‎ Springer; 2nd ed. 2024 edition (April 13, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 260 pages
ISBN-10 ‏ : ‎ 3031489551
ISBN-13 ‏ : ‎ 978-3031489556
Item Weight ‏ : ‎ 13.1 ounces
Dimensions ‏ : ‎ 5.75 x 0.5 x 9 inches

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications (Undergraduate Topics in Computer Science)

Data science is a rapidly growing field that involves the extraction of knowledge and insights from data. In today’s digital age, the ability to analyze and interpret data is essential for making informed decisions in various industries.

In this post, we will explore the fundamentals of data science, with a focus on using Python as the primary programming language. Python is widely regarded as one of the best programming languages for data analysis and machine learning due to its simplicity, versatility, and extensive libraries.

This book, “Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications,” is designed for undergraduate students in computer science who are interested in learning the fundamentals of data science. The book covers essential topics such as data visualization, statistical analysis, machine learning, and more, all using Python.

Throughout the book, readers will learn how to manipulate and analyze data using Python libraries such as Pandas, NumPy, and Matplotlib. They will also gain a solid understanding of statistical concepts and techniques, as well as how to apply machine learning algorithms to real-world datasets.

By the end of the book, readers will have a comprehensive understanding of the principles and practices of data science, as well as the practical skills needed to analyze data and make data-driven decisions. Whether you are a student looking to enter the field of data science or a professional seeking to enhance your skills, this book is an invaluable resource for mastering data science with Python.
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