Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization

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Are you looking for a hands-on approach to learn Python coding and Data Analysis quickly? This book serves as a comprehensive guide to fundamental concepts, theory, examples, and hands-on projects related to Data Analysis using Python. It is designed for anyone interested in Data Analysis, featuring crucial definitions, theoretical explanations, and tutorials. Beginners need not worry, as the book provides clear explanations and additional resources throughout. The content is centered around Python, the most widely used programming language today, with dedicated chapters on its application. You'll explore popular libraries for data analysis such as Pandas, Numpy, and Seaborn. The book is structured into three modules: one for Python Coding, one for Data Manipulation and Preprocessing (Numpy and Pandas), and a final one for Data Visualization (Pandas, Matplotlib, Seaborn, and Bokeh). Each module includes hands-on projects using real-world datasets. All solutions in the book have been extensively tested for clarity and ease of understanding, making them valuable references as you learn new skills. The primary goal is to help beginners overcome initial obstacles in learning Python and Data Analysis. By isolating concepts, the book allows newcomers to gradually build competency before tackling projects. Ready to start analyzing your data with Python? Click the BUY button to begin your journey!