8.5 week summer data science intensive, fully online
REGISTRATION OPENS MARCH 1, 2020.
Contact your LACOL liaison or registrar to apply – see contact list by school below.
Course Information:
- Syllabus: Summer 2020 Data Science Syllabus
- Short Description: LACOL Summer Data Science
- Flyer: Data Science Summer 2020 Flyer
- Staff: Course Personnel
- FAQ: Frequently Asked Questions for Students
- Online Office Hours: 2020 DS Office Hour Schedule (required)
- Weekly Schedule: Course Schedule by Topic
- Policies: Course Policies
- Project Gallery: 2019 Student Project Samples
Course Site:
- Course website and Discussion Forum: (registration required)
- RStudio Server: (registration required)
- DataCamp: DataCamp Dashboard (registration required)
- Slack Chat: (registration required)
 This class is generously supported by DataCamp for the Classroom. Enrolled students will have full access to DataCamp videos and exercises for 6 months during and after the summer term. |
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Meet the Summer Course Instructors (Bios):
Course Description:
In summer 2020, an 8.5 week intensive course, Introduction to Data Science, is offered to students through an innovative liberal arts (LACOL) partnership. This team-taught class is designed to introduce students to the concepts, theory, and practice of modern data science. Students will learn a range of skills for working with real-world data that apply to many fields of study, research, citizenship, and life. No prior data acumen or coding experience is required, but a foundation in algebra and calculus is strongly recommended.
This course is open to students in the Liberal Arts Collaborative for Digital Innovation (LACOL), a partnership of Amherst College, Bryn Mawr College, Carleton College, Davidson College, Hamilton College, Haverford College, Swarthmore College, Vassar College, Washington and Lee University, and Williams College.
Flexible Learning in a Fully Online Class:
Summer students do not need to be resident on their campus during the term, but every student must have daily access to a computer and reliable, high speed internet. Lectures, assignments, data labs, and projects will be conducted in a fully supported, virtual classroom environment with a mix of synchronous (scheduled) and asynchronous class sessions, breakouts, supported work-time, and online office hours. See FAQ and course policies above for more information.
Registration Opens March 1st, 2020!
If you are a student at a LACOL campus, contact your Liaison or Registrar for more information about enrollment and eligibility. You may be able to receive full college credit through your home institution.
| Institution | Course Info Contact | Enrollment Contact |
| Amherst College | N. Horton nhorton@amherst.edu | N. Horton nhorton@amherst.edu |
| Bryn Mawr College | J. Spohrer jspohrer@brynmawr.edu | J. Spohrer jspohrer@brynmawr.edu |
| Carleton College | TBA | E. Farley efarley@carleton.edu |
| Davidson College | L. Heyer laheyer@davidson.edu | A. Dewberry andewberry@davidson.edu |
| Hamilton College | Cat Beck ccbeck@hamilton.edu | TBA |
| Haverford College | J. Keane jkeane@haverford.edu | J. Keane jkeane@haverford.edu |
| Swarthmore College | E. Foster-Molina mfoster1@swarthmore.edu | E. Foster-Molina mfoster1@swarthmore.edu |
| Vassar College | J. Hu jihu@vassar.edu | C. Mallet comallet@vassar.edu |
| Washington and Lee University | M. Khalifa khalifam@wlu.edu | S. Dittman SDittman@wlu.edu |
| Williams College | S. J. Miller sjm1@williams.edu | K. Dunlop kdk2@williams.edu |