Cancer Data Science Course
Are you interested in the field of cancer data science? Whether you’re intending to transform your career with it, or you’re just looking for some perspective, we hope this beginner series can be your roadmap to better understanding this pivotal field.
Watch, read, and review your way through each chapter to learn fundamental information and skills.
Chapter 1: It’s Never Too Early to Learn Cancer Data Science
Chapter Description
We’ve spoken with early career cancer researchers and trainees, and many of them lamented that they wished they had started gaining data science skills earlier in their career. In this chapter, you’ll learn the truth about common data science myths and explore overview resources of the data science process, where you fit into the process, and how you can use it in your projects.
Start the Course
Required:
Watch our video, “5 Data Science Myths" (approx. 6 minutes long).
Test your knowledge!
Other Related Materials:
- Cancer Data Science Lifecycle: Walk through the 6 stages of the cancer data science lifecycle to find out how you would conduct a data science project.
- Tips for Completing Your Research Project: Find out what Dr. Umit Topaloglu, cancer data scientist, advises to complete your research project.
- Career Confessions from Cancer Data Scientists: Read how 8 biomedical researchers found their way to data science and what they wish they knew when they had started.
- NCI Brings Data to Life: Watch this short video sharing how cancer research data is collected, processed, and turned into meaningful insights through the life of a single genomic data point.
- NCI’s Cancer Plan and Data’s Critical Role: Find out how data science initiatives and efforts will support NCI’s new cancer plan.
Keep Going!
Continue to Chapter 2 to explore coding basics for cancer research.
- Ready to start your project? Get an overview of the data science lifecycle and what you should do in each stage.
- Need answers to data science questions? Visit our Training Guide Library.