Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.

Learn about NP-complete problems, known as hard problems that can’t be solved efficiently, and practice solving them using algorithmic techniques.

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

Learn about pattern matching and string processing algorithms and how they apply to interesting applications.

Learn about pattern matching and string processing algorithms and how they apply to interesting applications.

Learn about pattern matching and string processing algorithms and how they apply to interesting applications.

This course is for educators who are passionate about the future of their 7-12+ year old students and want to learn more about teaching computer science in an engaging and meaningful way.

This course is for educators who are passionate about the future of their 7-12+ year old students and want to learn more about teaching computer science in an engaging and meaningful way.