"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.
Author(s): Brian Brock
Publisher: Independently published
Year: 2023
Language: English
Pages: 165
Chapter 1
What is Data Science?
How Does Data Science Operate?
Python For Data Science
Chapter 2
Python | Pandas DataFrame
Chapter 3
NumPy in Python
Chapter 4
Python | Introduction to Matplotlib
Chapter 5
Taking input in Python
How the Python input function functions
In Python and other languages, how to assign values to variables
Chapter 6
Data type
Chapter 7
Python Sets
Setting Up a Set
Chapter 8
Control Flow in Python
Chapter 9
Python Functions
Chapter 10
How to Create and Manipulate SQL Databases with Python
Python and SQL: Why?
Chapter 11
Ethics in Data Science and Proper Privacy and Usage of Data
Describe ethics.
Why is ethics crucial in data science?
