Fred Hutchinson Cancer Center Courses

Write Smarter with Overleaf and LaTeX

144 ratings at Coursera

Learn to create professional scientific documents using LaTeX and Overleaf. Master typesetting, collaborative writing, and easy formatting for various publication platforms. Ideal for researchers seeking efficient manuscript preparation.

• Coursera
• 6 hours 47 minutes
• Self-Paced
• Paid Course

Career Certificate

Researcher's Guide to Omic Data

36 ratings at Coursera

Comprehensive guide for researchers to understand and analyze omic data, covering fundamentals, DNA sequencing, and RNA sequencing, with a focus on practical applications in biomedical sciences.

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

Determining AI Needs

31 ratings at Coursera

Learn to assess AI integration needs for projects, comparing pre-built solutions vs custom models. Gain insights on resource allocation and decision-making for successful AI implementation.

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

Developing AI Policy

23 ratings at Coursera

Learn to create ethical, legal AI policies for your organization. Gain insights on responsible AI adoption, policy development, and addressing key concerns across industries.

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

AI for Decision Makers

24 ratings at Coursera

Explore AI's potential across disciplines, learn ethical considerations, and develop leadership skills to leverage AI tools efficiently and responsibly in your organization or community.

• Coursera
• 14 hours 45 minutes
• Self-Paced
• Paid Course

Researcher's guide to RNA sequencing data

19 ratings at Coursera

Comprehensive guide to RNA sequencing data analysis, covering bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics for researchers seeking to process and interpret RNA data effectively.

• Coursera
• 4 hours 20 minutes
• Self-Paced
• Paid Course

Researcher's guide to omic fundamentals

19 ratings at Coursera

Comprehensive guide to understanding and interpreting genomic data types, equipping biomedical researchers with essential knowledge and resources for efficient data analysis and collaboration.

• Coursera
• 4 hours 22 minutes
• Self-Paced
• Paid Course

Avoiding AI Harm

12 ratings at Coursera

Explore ethical considerations and mitigation strategies for responsible AI use and development. Learn from real-world examples to make informed decisions about AI implementation in various fields.

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

Career Certificate

Enhancing Reproducible Science with GitHub and Docker

5 ratings at Coursera

Master reproducible science techniques using GitHub and Docker to ensure consistent research results across different environments and collaborators.

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

Exploring AI Possibilities

Explore AI's potential across disciplines, learning key concepts, applications, and ethical considerations to enhance leadership skills for efficient and creative business solutions.

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

AI for Efficient Programming: Harnessing the Power of LLMs

Explore AI-powered software development using large language models. Learn strategies for efficient coding, debugging, refactoring, and code comprehension while considering ethical implications.

• Coursera
• 12 hours 35 minutes
• Self-Paced
• Paid Course

Data Management and Sharing for NIH Proposals

Comprehensive guide on NIH's new data management and sharing policy, covering requirements, repositories, challenges, and step-by-step plan writing for grant applicants.

• Coursera
• 5 hours 14 minutes
• Self-Paced
• Paid Course

Best Practices for Ethical Data Handling

Master ethical principles of biomedical data management, covering privacy, security, and sharing practices while exploring historical context and modern challenges in research data handling.

• Coursera
• 10 hours 7 minutes
• Self-Paced
• Paid Course

Practical Steps for Building Fair AI Algorithms

Learn practical steps to build fair AI algorithms, focusing on real-world applications in healthcare, criminal justice, and language models. Gain insights on designing, assessing, and implementing ethical algorithmic decision-making systems.

• Coursera
• 5 hours 29 minutes
• Self-Paced
• Paid Course

Smarter Scientific Software Development with GitHub Actions

Master GitHub Actions for automated scientific workflows, enhancing reproducibility in biomedical research through continuous integration and deployment techniques.

• Coursera
• 10 hours 20 minutes
• Self-Paced
• Paid Course