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Hands-On Data Analysis with Python Libraries: A Beginner’s Guide From Basics to Projects
Hands-On Data Analysis with Python Libraries
A Beginner’s Guide From Basics to Projects
Master data analysis the practical way — with Python, step-by-step examples, and real-world projects.
This beginner-friendly guide walks you through everything you need to get started with data analysis using powerful Python libraries like Pandas, Numpy, Matplotlib, and Seaborn. Whether you're a student, self-learner, or professional making a switch to data, this book provides clear explanations, practical exercises, and hands-on projects.
What You’ll
• How to get started with Python and Jupyter Notebook
• Data handling with Pandas and NumPy
• Data visualization using Matplotlib and Seaborn
• Exploratory Data Analysis (EDA) on real datasets
• A complete project on the Titanic dataset — from data cleaning to insights
• Tips, motivation, and a roadmap to keep learning
You don’t need a programming background — just curiosity and a willingness to learn. Start your data journey today and build your skills through practice.
A Beginner’s Guide From Basics to Projects
Master data analysis the practical way — with Python, step-by-step examples, and real-world projects.
This beginner-friendly guide walks you through everything you need to get started with data analysis using powerful Python libraries like Pandas, Numpy, Matplotlib, and Seaborn. Whether you're a student, self-learner, or professional making a switch to data, this book provides clear explanations, practical exercises, and hands-on projects.
What You’ll
• How to get started with Python and Jupyter Notebook
• Data handling with Pandas and NumPy
• Data visualization using Matplotlib and Seaborn
• Exploratory Data Analysis (EDA) on real datasets
• A complete project on the Titanic dataset — from data cleaning to insights
• Tips, motivation, and a roadmap to keep learning
You don’t need a programming background — just curiosity and a willingness to learn. Start your data journey today and build your skills through practice.
153 pages, Kindle Edition
Published July 31, 2025
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