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 2: Coding Basics for Cancer Data Science
Do you need to know computer science to do
Start the Course
Watch our ~6-minute-long video, “5 Tips for Learning to Code”
Test your knowledge!
Other Related Materials:
- Python Introductory Series, Lesson 1: Watch this course recording for information and guidance on Python (i.e., its command syntax, where you can find Python packages, and how it’s used to start a Jupyter Lab session on Biowulf). Note: Given this is a recording, you will have to access the resource tools specified within the video to follow along with the instructor.
- An Introduction to Python for
Data Science(Part 1) (Part 2): Watch this beginner-oriented, two-part series on Python, presented by NIH’s National Institute on Minority Health and Health Disparities.
- Introduction to R: Watch this course recording for an introduction to R and RStudio. Note: Given this is a recording, you will have to access the resource tools specified within the video (i.e., DNAnexus and RStudio) to follow along with the instructor).
Continue to Chapter 3 to discover key statistics concepts that will enhance your 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 sciencequestions? Visit our Training Guide Library.