Cancer Data Science Pulse

Cancer Researchers: Do You ‘Speak Data Science’? Test Your Knowledge!

So, you’re new to the cancer research lab. Maybe you’ve started learning more about data science to enhance your research, or perhaps you have a colleague with data science expertise and you want to improve your collaboration with him or her. Since data science is here to stay, learning the correct definitions for data science terms and understanding basic data science concepts will help you be more confident throughout your career.

We’ve put together this 10-question quiz for you to test your knowledge on key data science terms, so you can feel good about applying these concepts to your work and communicate better with your data science colleagues!

When you’re done, visit our “Training” section to find more comprehensive information on cancer data science, and explore lists of resources that you can use on your data science journey.

Let’s get started!

Start the Course
1
What is data cleaning?
b
Correct
Incorrect
2
True or False: Facilities collecting data on new cancer cases need to report those cases to a central cancer registry.
Explanation: This is required by law. A central cancer registry, such as a state registry, will require you to meet specific requirements to capture important cancer data. This might include histology findings, primary tumor site, and more. To learn more about this process, explore our “Generating and Collecting Data: The Basics” webpage.
Explanation: Reporting to a central cancer registry is required by law. A central cancer registry, such as a state registry, will require you to meet specific requirements to capture important cancer data. This might include histology findings, primary tumor site, and more. To learn more about this process, explore our “Generating and Collecting Data: The Basics” webpage.
True
Correct
Incorrect
3
What are the three Cs of working with data?
b
Correct
Incorrect
4
How does data exploration and analysis help you as you conduct your research and work with your data?
a
Correct
Incorrect
5
How do you define consortium sharing?
c
Correct
Incorrect
6
True or False: Predictive models are like powerful calculators that help us better understand a patient.
Explanation: Predictive models can help you understand a patient by considering factors such as patient information, genetics, and treatment history. Find out what the two types of models are (and more) by visiting our “Predictive Modeling: The Basics” webpage.
Explanation: Predictive models are very much like powerful calculators. They can help you understand a patient by considering factors such as patient information, genetics, and treatment history. Find out what the two types of models are (and more) by visiting our “Predictive Modeling: The Basics” webpage.
True
Correct
Incorrect
7
Which type of chart visualizes data through variation in coloring applied to a tabular format?
d
Correct
Incorrect
8
How do you define secondary data sets?
a
Correct
Incorrect
9
Which chart is commonly used when presenting timelines in a grant proposal or funding request?
c
Correct
Incorrect
10
You want to clean your data, but there’s a lot of it, and it’s an overwhelming task. You ask your data scientist colleague for advice, and they tell you to use Python. What do they mean?
b
Correct
Incorrect

How did you do? If you got them all correct, congratulations! If you missed some, that’s okay too; your interest in learning more about cancer data science is the important part! 

Expand your data science knowledge in our suite of cancer data science how-to guides, video courses, and resources available for you in our Training section. Discover the difference it makes in your career. 

Did you like this quiz? Let us know by leaving a comment below. Your feedback can help us provide you with more valuable content!
NCI CBIIT Staff
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The answer to the final question:
"You want to clean your data, but there’s a lot of it, and it’s an overwhelming task. You ask your data scientist colleague for advice, and they tell you to use Python. What do they mean?" should definitely include the words programming language. Python cannot make the cleaning decisions for you but can automate repetitve tasks. The decisions would still have to be taken by the user (example filtering out values lower than a certain TPM in RNAseq data). Thank you.
Thank you for your interest and input regarding the question about Python! We've reviewed your suggestion and made adjustments to the answer.
Some questions might be needing revision
Thank you for the feedback. Please feel free to let us know in a comment or via email of any specifics!
I got them all right, and I am an epidemiologist. Content on how epidemiology and data science overlap would be interesting and helpful to those newer to the field.
Congratulations on getting them all correct! And thank you for your interest in additional content and quizzes. We’ve taken note!
Thank you for the test. It revealed that I do speak Data Science with a 9/10 score. Much appreciated.
Great score! Make sure you’re subscribed to our weekly email updates, so you don’t miss future quizzes like this!