Implementing Statistics with Python: Optimize decision-making with statistical inference and Python (English Edition)

by Wei-Meng Lee

Overview

Statistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of statistics and how to use Python to analyze data. You will learn to find patterns, quantify uncertainty, and make data-driven predictions with confidence. You will start with basic statistics and then use Python libraries like NumPy and Pandas for data manipulation. You will also learn data visualization with Matplotlib and Seaborn to create informative charts. The book covers probability theory and statistical inference to help you make data-driven decisions. You will be exploring regression and time series analysis with ARIMA for forecasting. Finally, the book introduces ML algorithms, preparing you for real-world data science projects.

Product Details

ISBN-13:	9789355517104
Publisher:	Bpb Publications
Publication date:	07/17/2024
Pages:	356
Product dimensions:	7.50(w) x 9.25(h) x 0.74(d)

About the Author

Wei-Meng Lee is a seasoned technologist, author, and educator known for his expertise in a wide range of topics, including software development, data science, and emerging technologies. With a strong background in computer science and a passion for innovation, Wei-Meng has made significant contributions to the tech industry through his writing, teaching, and hands-on experience.