Learning Python for Data Science
Explore data analytics and machine learning using Python
Created by Ilyas Ustun
Discover how to use Python for data analysis and machine learning. You'll work with popular libraries like NumPy, pandas, and scikit-learn to explore, visualize, and model real-world data. By the end, you'll know how to turn raw data into valuable insights using practical coding skills.
Packt | Jul 2018 | 219 min
What You Will Learn
You will learn by working through hands-on coding exercises using real-world datasets. Each topic is explained with practical examples, so you can immediately apply new concepts. As you progress, you'll practice data cleaning, analysis, visualization, and machine learning, building a strong foundation for data science projects.
Key Features
- Analyze and manipulate data with pandas for effective data-driven decisions
- Visualize data patterns using Matplotlib and Seaborn for clear insights
- Build and evaluate machine learning models with scikit-learn on real datasets
Target Audience
Perfect for aspiring data scientists or analysts who already know basic Python and want to apply it to data science. If you understand programming fundamentals and want to learn how to analyze and model data, you'll find this course approachable and rewarding. No prior experience with data analytics or machine learning is required.
