Introduction to Python for Scientific Computing
Completed by Aung Ko Zin
January 17, 2026
9 hours (approximately)
Aung Ko Zin's account is verified. Coursera certifies their successful completion of Introduction to Python for Scientific Computing
What you will learn
Apply Python programming concepts to develop structured, efficient code for scientific analysis
Perform numerical and symbolic computations using Python libraries to solve real-world scientific problems
Visualize data effectively using Python’s plotting libraries
Select and apply appropriate Python tools and techniques to model, analyze, and solve scientific problems
Skills you will gain
- Category: NumPy
- Category: Matplotlib
- Category: Engineering Analysis
- Category: Computational Thinking
- Category: Code Reusability
- Category: Debugging
- Category: Integrated Development Environments
- Category: Computer Programming
- Category: Engineering Calculations
- Category: Data Visualization
- Category: Programming Principles
- Category: Numerical Analysis
