Gain a competitive edge in the data-driven era. The online course offers cutting-edge analytics training, empowering you to extract valuable insights from complex Data Worlds. Dive deep into a framework to build and operate Data Hubs. Elevate your analytical prowess and lead with informed, data-backed decisions.

This is a Leanpub Team course we're using to test some things live! Please don't buy it :)
This course covers how to use GitHub actions for scientific software development. We encourage the recognition that scientific software can take many forms that can all benefit from the concepts of continuous integration and continuous deployment.

This course provides you with the tools to write and run workflows on Terra. Hands-on exercises guide you through writing basic WDL scripts, pre-configuring workflows, and customizing your workflow's Docker containers.

Want to learn how to use Kotlin? This practical course presents the most important Kotlin features, together with the best practices for using them.
This hands-on course will focus on introducing the features of IntelliJ IDEA that you should be using every day as a developer. Whatever your experience with IntelliJ IDEA, you will learn how to work with the IDE in the most efficient and productive way.
The course covers basic information about why LaTeX can be useful, how to get started in Overleaf using LaTeX with a template, how to work with a team on Overleaf, and what to do when you encounter problems.
Our course helps you understand the NIH Data Management and Sharing policy changes, how you'll need to address them, and why these changes matter. Join us for a comprehensive review of the plan's required format and sections, incorporating data sharing into your budget, understanding your storage needs, repository selection, and more.
This course on AI for efficient programming explores the use of AI large language models and their potential benefits and challenges. Through examples and hands-on activities, students will develop an understanding of the ways in which AI can speed up software development tasks and free up time for more creative and strategic work.
We live in a world where we all have far more ideas than capacity to implement them. We think this is a good problem to have, it can be frustrating and depressing if you feel like you are always context switching and can never get anything done. This is why we love Kanban. It's a simple framework which can radically change the way you work.
Learn about key principles of data management for bioinformatics research from an ethics, privacy, security, usability and discoverability perspective.