Data Science with Python

Master Data Science Using the Most In-Demand Language in Tech—Python.

Python is at the heart of modern data science—and Data Science with Python is your complete, beginner-friendly guide to learning how to use it for data analysis, machine learning, and predictive modeling.

Whether you’re new to coding or looking to apply your Python skills to the data world, this book provides a step-by-step roadmap with practical examples, hands-on exercises, and real-world datasets to build your confidence and skills.

Inside the book, you’ll learn how to:

• 🔢 Work with Data Using Pandas & NumPy: Import, clean, manipulate, and explore structured data with ease.

• 📊 Visualize Insights: Create stunning, meaningful data visualizations using Matplotlib and Seaborn.

• 🤖 Apply Machine Learning: Build and evaluate models using Scikit-learn, including classification, regression, and clustering algorithms.

• 🧹 Prepare & Clean Datasets: Handle missing values, outliers, and text data using powerful preprocessing techniques.

• 📁 Work on Real Projects: Apply your knowledge with practical case studies in business, finance, healthcare, and marketing.

• 🛠️ Use Jupyter Notebooks: Organize your code and analysis in a clear, interactive format used by data professionals everywhere.

You’ll also get access to downloadable practice files, code snippets, and reusable templates so you can follow along and build your own portfolio.

Whether you’re aiming for a data science job, working on your own projects, or adding new skills to your resume, Data Science with Python is the ultimate guide to getting started—and going pro.

Transform data into insights. Start your data science journey with Python today.