Python for Data Analysis - A Beginner's Guide to Data Science

Python for Data Analysis: A Beginner's Guide to Data Science



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English | 2025 | ASIN: B0DVQHMWH9 | Pages: 180 | Epub | 4.96 MB

Unlock the power of Python for data analysis with "Python for Data Analysis: A Beginner's Guide to Data Science". This comprehensive guide is designed for beginners who want to master the art of analyzing data using Python, one of the most popular programming languages in the world. Whether you're a student, a professional, or someone looking to break into the field of data science, this book will equip you with the essential skills to transform raw data into actionable insights.

Starting with the basics, you'll learn how to set up your Python environment, work with essential libraries like NumPy, Pandas, and Matplotlib, and perform data manipulation and cleaning. As you progress, you'll dive into exploratory data analysis (EDA), data visualization, and machine learning, gaining hands-on experience with real-world datasets and case studies. The book also covers advanced topics such as time series analysis, web scraping, SQL integration, and automating data workflows, ensuring you have a well-rounded understanding of Python's capabilities for data analysis.