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Book Overview & Buying
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Table Of Contents
Python for Data Analysis - Become a Data Analyst in 2025
By :
Python for Data Analysis - Become a Data Analyst in 2025
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Overview of this book
This comprehensive course is designed to take you from a Python beginner to a proficient data analyst. You’ll start with the fundamentals, including variables, data types, operators, and control flow, building a solid foundation for Python programming. As you progress, you'll dive into Python libraries essential for data analysis, such as Numpy for numerical computations and Pandas for data manipulation. You'll also explore Matplotlib and Seaborn, powerful visualization tools that help transform raw data into insightful graphs and charts.
The course structure incorporates a variety of hands-on exercises, ensuring you can apply what you've learned to real-world problems. You'll learn to clean and analyze datasets, create customized visualizations, and handle larger, more complex data structures. Advanced Pandas techniques such as pivot tables, data merging, and exporting data will be covered to ensure you can manage data efficiently in any scenario.
In the final section, you’ll work on a real-world project where you'll apply all the concepts learned throughout the course. You’ll use GitHub for version control, analyze skill trends, salary data, and more, building a portfolio-worthy project. By the end of this course, you’ll have the skills to confidently take on data analysis tasks using Python.
Table of Contents (10 chapters)
Introduction & Course Overview
Basics of Python
Introduction to Numpy
Basics of Pandas
Basics of Matplotlib
Pandas Advanced
Matplotlib Advanced
Introduction to Seaborn
Project
Ending Notes
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