The world of statistics and data science is vast and continually growing! The goal of the statistics experience assignments is to help you engage with the statistics and data science communities outside of the classroom.
There will be one statistics experience assignment that will count as a homework grade. The submission for the statistics experience is due on Friday, December 3 at 11:59pm on Gradescope. No late work will be accepted for the statistics experience. You may submit the statistics experience assignment anytime between now and the deadline.
Each experience has two parts:
1️⃣ Have a statistics experience
2️⃣ Make a slide summarizing on your experience
You must complete both parts to receive credit.
Complete an activity in one of the categories below. Under each category are suggested activities. You do not have to do one these suggested activities. You are welcome to find other activities as long as they are related to statistics/data science and they fit in one of the six categories. You can email Professor Tackett if there is an activity you’d like to do but you’re not sure if it qualifies for the statistics experience.
Attend an talk, panel, or conference related to statistics or data science. If you are attending a single talk or panel, it must be at least 30 minutes to count towards the statistics experience. The event can be in-person or online.
Talk with someone who uses statistics in their daily work. This could include a professor, professional in industry, graduate student, etc.
Listen to a podcast or watch a video about statistics and data science. The podcast or video must be at least 30 minutes to count towards the statistics experience. A few suggestions are below:
This list is not exhaustive. You may listen to other podcasts or watch other statistics/data science videos not included on this list. Ask your professor if you are unsure whether a particular podcast or video will count towards the statistics experience.
Participate in a statistics or data science competition. You can participate individually or with a team. Information for an upcoming data challenge is linked below.
There are a lot of books about statistics, data science, and related topics. A few suggestions are below. If you decide to read a book that isn’t on this list, ask your professor to make sure it counts toward the experience. Many of these books are available through Duke library.
You may also participate in a TidyTuesday challenge. New data sets are announced on Monday afternoons.You can find more information about TidyTuesday and see the data in the TidyTuesday GitHub repo.
A few guidelines:
✅ Create a GitHub repo for your TidyTuesday submission. Your repo should include
✅ The visualization should include features or customization that are beyond what we’ve done in class .
✅ Include the link to your GitHub repo in the slide summarizing your experience.
Make one slide summarizing your experience. Submit the slide as a PDF on Gradescope.
Include the following on your slide:
Click here to see a template to help you get started on your slide. Your slide does not have to follow this exact format; it just needs to include the information mentioned above and be easily readable (i.e. use a reasonable font size!). Creativity is encouraged!
Submit the reflection as a PDF under the Statistics Experience assignment on Gradescope by Friday, December 3 at 11:59pm. It must be submitted by the deadline on Gradescope to be considered for grading.