JOIN US!

Click here to sign up for our email list for updates on how to join this semester!

Signups for the Winter 2023 semester are now closed!

W23 MASS MEETING

Monday 1/9, 7-8pm in CHEM 1200

Slides available here

W23 Checkpoints and Tutorials

To join the club, both checkpoints must be completed and submitted by 1/24 at 11:59pm via the project sign-up form. Visit the GitHub tutorials repository to get started.

Tutorials and office hours to help with checkpoints are open to all prospective members and are scheduled for:

  • Wed 1/11 7-9pm - OH 0 - East Hall Math Atrium (Zoom)

  • Sun 1/15 12-3pm - Tutorial 0 - Classrooms on either side of fishbowl's east entrance (G444 rooms on this map)

  • Wed 1/18 7-9pm - OH 1 - East Hall Math Atrium (Zoom)

  • Sun 1/22 12-3pm - Tutorial 1 - Classrooms on either side of fishbowl's east entrance (G444 rooms on this map)

  • Tues 1/24 7-9pm - OH 2 - East Hall Math Atrium (Zoom)

See the tutorials page for details.

FAQ

Are there any requirements to join?

No! We welcome all University of Michigan students, regardless of academic level or major.

How do I join?

We take new members at the beginning of each F/W semester. Early in the semester, we run a series of 2 tutorials to give our prospective members an introduction to data science. Attendance at the tutorials is not mandatory, however, each tutorial will have an associated checkpoint which you must submit and get approved in order to join.

I have no data science experience. Can I join?

Yes! Everyone is welcome to join the team! We strongly recommend newcomers attend our introductory tutorials, as they will teach you the basics of the tools we use and are also a great opportunity to meet others in the same boat!

We also have a repository of MDST-curated "Getting Started" links that contains online tutorials, blog posts, and other resources to help you get a jump start on your data science skills.

How much time commitment do you require?

1 hour team meetings + 3 hour work sessions = about 4 hours per week.

What languages do you use?

We primarily use Python. We like to reuse code and resources as much as possible, so we discourage our project teams from using other languages. If you are an R user, we recommend checking out this helpful tutorial on DataCamp.

I am not a student at the University of Michigan. Can I join?

No. Unfortunately, we are not currently accepting students outside U of M.