Free online courseScientific Computing

Course Description

Learn scientific computing with Python in a free online course built for engineers, scientists, and anyone who wants to analyze data and solve technical problems efficiently. You will work in a practical, notebook-based environment and build confidence using the tools that power modern numerical and scientific workflows.

Start by getting comfortable in Jupyter Notebook and strengthening core Python skills, including data types, data structures, operations, control flow, and functions. Then transition into numerical computing with NumPy, where you will create and manage arrays, perform fast vectorized calculations, and handle indexing, reshaping, and array manipulation with clarity.

Go further with broadcasting concepts, from essential patterns to more advanced techniques that make multidimensional computations concise and performant. After that, explore SciPy to tackle common scientific tasks such as linear algebra, statistics, interpolation, optimization, and integration. By the end, you will be able to combine Python, NumPy, SciPy, and Jupyter into a reliable toolkit for simulations, data analysis, and reproducible computational research.