Applied Calculus for Data Science and Machine Learning with Python
Master Calculus with Python for Real-World Data Science and Machine Learning Applications
Created by Ron Erez
Explore essential calculus concepts and see how they power real-world data science and machine learning. Work hands-on with Python to understand limits, derivatives, and optimization, and discover how these tools help solve practical data problems.
Packt | Dec 2025 | 452 min
What You Will Learn
You will start with the basics of calculus and Python, then gradually move into more advanced topics like multivariable calculus and optimization. By working through coding exercises and building mini-projects, you will see how calculus is used in real data analysis and machine learning tasks.
Key Features
- Master calculus concepts and apply them directly to Python coding tasks
- Use libraries like SymPy and NumPy for symbolic and numerical calculations
- Build mini-projects that reinforce skills for data science and machine learning
Target Audience
Designed for aspiring data scientists, machine learning enthusiasts, and students in related fields who want to strengthen their math skills with Python. If you have a basic understanding of Python and want to apply calculus to real-world data problems, this course is a great fit.
