This course explores the basic design principles of today's quantum computer systems. In this course, students will learn to work with the IBM Qiskit software tools to write simple quantum programs and execute them on cloud-accessible quantum hardware.

In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!

Sharing information from native Jupyter files is not an easy task. In under an hour, learn how to create computational, visually engaging, and interactive reports using Jupyter Book easily.

Get productive with TensorFlow.js - Google's Machine Learning library for JavaScript. From pre-made off the shelf models to writing or training your own, learn how to create next gen web apps.

Investigate the convergence and divergence of infinite series, with applications in calculus and analysis.

Explore the fundamentals of computing: computer architecture, binary logic, data processing, circuits & more.