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Episkills: Problem Sets and Exercises

Problem sets and annotated answers for learning Python for epidemiology

Ready to put your Python skills to the test? These problem sets will help you to work through data analysis, data cleaning, visualization, programming structures and control flows. Each of the 43 questions set has an answer key with worked examples and detailed explanations.


Your Instructor


Caitlin Rivers
Caitlin Rivers

Caitlin Rivers is the author of the package epipy, Python tools for epidemiology. She has a PhD in computational epidemiology and an MPH in infectious disease. She has worked as an epidemiologist in public health practice and is now a university professor.


Course Curriculum


  Warming up problem set
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days after you enroll
  Data analysis, part 1 problem set
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  Data analysis, part 2 problem set
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days after you enroll
  Special operations
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  Visualization
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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