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. 

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Chapter 4: Big Data Science Technologies

Chapter Description

Do you need a big budget to do big data analytics? In this chapter, you’ll learn more about 5 big data technologies: Cloud computing, high performance computing, artificial intelligence, wearable devices/sensors, and digital twins. By the end of this chapter, you’ll know more about how NCI uses these technologies for cancer research and what kind of resources you would need to use them.

Start the Course


Watch our ~6-minute-long video, “5 Tips for Practicing Cloud Computing” 

Test your knowledge!

Which of the following is NOT a reason why data are secure in the cloud?

Other Related Materials:

Keep Going!

Continue to Chapter 5 to find out how you can use machine learning in your cancer research projects.


Krish Seshadri
NCI Center for Biomedical Informatics and Information Technology (CBIIT)
Mr. Seshadri is a senior cloud architect and computer scientist within NCI CBIIT’s Digital Services and Solutions Branch. He provides the technical direction for several of NCI’s cloud platforms.

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