Watch the Video
Watch 5 Data Science Myths (approx. 6 minutes long).
Test Your Knowledge
The best technology for conducting data science is expensive.
A. True
B. False
The correct answer is B.
Many data science resources, such as those produced by NCI, are freely accessible. You don’t necessarily need a big budget for technologies to use data science to do high-quality research.
The incorrect answer is A.
Many data science resources are freely accessible. You don’t necessarily need a big budget for technologies to use data science to do high-quality research. NCI provides the cancer research community with many free tools.
Related Materials
- Cancer Data Science Lifecycle: Walk through the 6 stages of the cancer
data science lifecycle to find out how you would conduct adata science project. - Tips for Completing Your Research Project: Find out what Dr. Umit Topaloglu, cancer data scientist, advises to complete your research project.
- 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 learn about big data technologies we think can accelerate your education and 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.
Instructor
Shan Li, Ph.D., NCI Center for Cancer Research (CCR)
Dr. Li is a staff scientist with NCI CCR’s Cancer and Data Science Laboratory. Her research focuses on identifying the functional non-coding mutations in cancer progression.
For questions and feedback about this chapter, email our team at ncicbiit@mail.nih.gov.