Candace Savonen

My interest is in making genomic data science tools more easily attainable to those who are looking to impactfully apply them to their areas of knowledge and expertise. I am passionate about creating educational materials which emphasize reproducibility and using scalable methods to disseminate educational materials. I have been involved in creating and delivering bioinformatic education materials for cancer genomics. https://github.com/cansavvy

Coursera

Fred Hutchinson Cancer Center

AI for Decision Makers (Coursera)

Computer Science

Embark on a journey into the world of Artificial Intelligence with 'AI for Decision Makers.' This course is designed for professionals who want to harness the power of AI to drive innovation and make informed decisions. From understanding the basics of AI to exploring its ethical implications, this program equips you with the knowledge and skills needed to lead your organization into an AI-driven future.

Jun 29th 2026

5-12 Weeks

Artificial Intelligence Decision Making AI

Coursera

Fred Hutchinson Cancer Center

Determining AI Needs (Coursera)

Data Science

Are you overwhelmed by the multitude of AI options available? This 'Determining AI Needs' course provides a clear path to understanding and selecting the right Artificial Intelligence tools for your project. Gain essential knowledge on various strategies and solutions for integrating AI, and learn how to make informed decisions based on your specific use case.

Jun 29th 2026

1 Week

Artificial Intelligence Project Planning AI

Coursera

Johns Hopkins University

Advanced Reproducibility in Cancer Informatics (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced reproducibility with our specialized online course designed for those working in cancer informatics. This course will equip you with practical skills using tools such as git, GitHub, Docker, and GitHub actions to enhance the replicability and reliability of your research studies. Start mastering the art of reproducible science today!

Jun 22nd 2026

5-12 Weeks

Github Data Analysis R Language

Coursera

Johns Hopkins University

Introduction to Reproducibility in Cancer Informatics (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of reproducibility in cancer informatics with our introductory course designed for students and researchers. Gain insights into tools and methods that will help you make your research reliable, transparent, and replicable.

Jun 22nd 2026

5-12 Weeks

Informatics Github Data Analysis

Coursera

Johns Hopkins University

Documentation and Usability for Cancer Informatics (Coursera)

Statistics & Data Analysis

Discover the critical role of documentation and usability in cancer informatics with our specialized online course. Master the skills needed to efficiently utilize and develop bioinformatics tools for advanced cancer research. Enhance your ability to interpret complex datasets and contribute to groundbreaking discoveries in oncology.

Jun 15th 2026

4 Weeks

Informatics Cancer Usability

Coursera

Fred Hutchinson Cancer Center

AI for Efficient Programming: Harnessing the Power of LLMs (Coursera)

Robotics & Computer Vision

Discover the transformative power of AI in your coding workflow with 'AI for Efficient Programming: Harnessing the Power of LLMs'. This course is designed for developers looking to integrate Large Language Models into their processes. By mastering these advanced tools, you'll streamline tasks, accelerate project timelines, and focus on innovation.

Jun 15th 2026

4 Weeks

Artificial Intelligence Coding Data Science

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