Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.
What you'll learn
Understand a series of concepts, thought patterns, analysis paradigms, and computational and statistical tools, that together support data science and reproduc…
Fundamentals of reproducible science using case studies that illustrate various practices
Key elements for ensuring data provenance and reproducible experimental design
Statistical methods for reproducible data analysis
Computational tools for reproducible data analysis and version control (Git/GitHub, Emacs/RStudio/Spyder), reproducible data (Data repositories/Dataverse) and…
How to develop new methods and tools for reproducible research and reporting
Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?
Our economic institutions, organizations, and skills have not kept up with rapid advances in AI. In this growing gap lie many of society’s greatest challenges and opportunities. This course will explore how AI can and will transform our economy and society in the coming years. Each week, we will le…