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SQL and Python for Data Analysis for Beginners and Beyond: Step-by-Step Guide to Querying, Cleaning, and Visualizing Data with Hands-On Projects
Unlock the power of data analysis with two of the most in-demand skills today — SQL and Python.
Whether you’re a complete beginner or ready to take your data skills to the next level, this hands-on guide walks you through everything you need to confidently query, clean, analyze, and visualize data from start to finish.
Inside, you’ll learn how to connect SQL databases with Python, write efficient queries, clean messy datasets, and turn raw numbers into meaningful insights using tools like Pandas, Matplotlib, and Seaborn. Each chapter includes step-by-step examples and practical projects that build real-world experience you can use right away.
What You’ll to use SQL to store, query, and organize data
How to clean and prepare data using Python and Pandas
How to visualize trends and patterns with Matplotlib and Seaborn
How to automate data workflows and build reusable data pipelines
How to work with cloud databases and large datasets
How to combine SQL and Python for end-to-end data analysis projects
How to create a portfolio that showcases your analytical skills
Whether your goal is to start a career in data analysis, enhance your current role, or simply understand data on a deeper level, this book gives you the foundation, practice, and confidence you need.
If you’re ready to turn data into insight, click Buy Now and start your journey today.
Ideal Beginners learning SQL and Python for data analysis
Students and professionals wanting hands-on experience
Anyone preparing for data analyst or business intelligence roles
Whether you’re a complete beginner or ready to take your data skills to the next level, this hands-on guide walks you through everything you need to confidently query, clean, analyze, and visualize data from start to finish.
Inside, you’ll learn how to connect SQL databases with Python, write efficient queries, clean messy datasets, and turn raw numbers into meaningful insights using tools like Pandas, Matplotlib, and Seaborn. Each chapter includes step-by-step examples and practical projects that build real-world experience you can use right away.
What You’ll to use SQL to store, query, and organize data
How to clean and prepare data using Python and Pandas
How to visualize trends and patterns with Matplotlib and Seaborn
How to automate data workflows and build reusable data pipelines
How to work with cloud databases and large datasets
How to combine SQL and Python for end-to-end data analysis projects
How to create a portfolio that showcases your analytical skills
Whether your goal is to start a career in data analysis, enhance your current role, or simply understand data on a deeper level, this book gives you the foundation, practice, and confidence you need.
If you’re ready to turn data into insight, click Buy Now and start your journey today.
Ideal Beginners learning SQL and Python for data analysis
Students and professionals wanting hands-on experience
Anyone preparing for data analyst or business intelligence roles
773 pages, Kindle Edition
Published October 11, 2025
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