Fred Hutchinson Cancer Center Courses

Write Smarter with Overleaf and LaTeX

144 ratings at Coursera

Write scientific manuscripts in Overleaf and LaTeX: start from a journal template, add figures, tables, citations and internal links, troubleshoot errors, and collaborate.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Researcher's Guide to Omic Data

40 ratings at Coursera

Learn what your omic data mean: interpret DNA sequencing and RNA sequencing datasets, and find the tools and resources for analyzing your own or publicly available data.

• Coursera
• 8 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 3 courses

Determining AI Needs

31 ratings at Coursera

Plan how to bring AI into a project: weigh pre-built AI products against custom models and assess resource, complexity, and customization requirements.

• Coursera
• 3 hours 9 minutes
• Self-Paced
• Paid Course

AI for Decision Makers

25 ratings at Coursera

Understand how AI and LLMs work, weigh ethical risks and mitigations, choose between prebuilt and custom models, and draft an organizational AI policy covering IP, privacy, and liability.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Developing AI Policy

24 ratings at Coursera

Lead your organization's AI adoption: weigh ethical and legal risks of generative AI tools, build an advisory team, and draft a policy that fits organizational goals.

• Coursera
• 2 hours 19 minutes
• Self-Paced
• Paid Course

Researcher's guide to RNA sequencing data

21 ratings at Coursera

Compare bulk RNA-seq, single-cell RNA-seq, spatial transcriptomics, and expression microarrays, and ask the right design questions to pick methods and resources for your own RNA data.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Researcher's guide to omic fundamentals

20 ratings at Coursera

Get oriented in omic data: compare sequencing and microarray data types, weigh omics tool choices, organize metadata, and use annotation and analysis resources.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Avoiding AI Harm

12 ratings at Coursera

Examine ethical concerns raised by AI and generative tools like ChatGPT, and apply mitigation strategies, transparency practices, independent model validation, and a framework for responsible use.

• Coursera
• 3 hours 12 minutes
• Self-Paced
• Paid Course

Researcher's guide to DNA sequencing data

10 ratings at Coursera

Compare DNA sequencing approaches: whole genome and exome sequencing, bisulfite methylation sequencing, ATAC-seq, ChIP-seq, CUT&RUN/CUT&Tag, and microarrays, and pick resources for your data.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Enhancing Reproducible Science with GitHub and Docker

5 ratings at Coursera

Make scientific analyses reproducible: apply code review, version control with Git and GitHub, containerize computing environments with Docker, and automate code testing with GitHub Actions.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Exploring AI Possibilities

Define AI with a three-part framework of data, algorithm, and interface, tell AI from non-AI technologies, and weigh generative AI's workplace possibilities, limitations, and ethical use.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course

Practical Steps for Building Fair AI Algorithms

Learn ten practical principles for building fair algorithms: choosing training data, features and predicted outcomes, documenting datasets, and assessing bias in criminal justice, healthcare and ChatGPT.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

AI for Efficient Programming: Harnessing the Power of LLMs

Use LLMs like ChatGPT and Bard to write, debug, refactor and annotate code, decipher unfamiliar languages, and weigh the ethics of AI-assisted development.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Management and Sharing for NIH Proposals

Write a data management and sharing plan for NIH grants: cover the 2023 policy's required elements, pick suitable data repositories, and budget for sharing costs.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Best Practices for Ethical Data Handling

Learn to handle human research data ethically: identify data needing protection, apply de-identification and encryption, share data through repositories, and trace biomedical ethics history.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course