Data Analytics with Python : Variable, Operators, Branching, Numpy, Pandas, Matplotlib and EDA - Exploratory Data Analysis
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Data Analytics with Python : Variable, Operators, Branching, Numpy, Pandas, Matplotlib and EDA - Exploratory Data Analysis

by Punit Prabhu

Education Science Mathematics
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A focused introduction to data analytics with Python, covering programming fundamentals alongside NumPy, Pandas, Matplotlib, and exploratory data analysis. This book brings together essential tools and concepts for readers developing practical skills in organizing, analyzing, visualizing, and understanding data.

About This Book

Explore the core Python concepts used in data analytics, including variables, operators, and branching.

Learn about NumPy and Pandas, two essential tools for working with numerical and tabular data.

Use Matplotlib to create visual representations that support clearer data understanding.

Study exploratory data analysis as a practical approach to examining, summarizing, and interpreting datasets.

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I will be using this book for: