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The Data Mine introduces students to concepts in Data Science that will be useful for students in all areas of study. For this reason, it is open to students from any major or year of study.  Students will learn some of the most sought after skills, which companies and graduate programs expect them to know.  No computational background is needed.  The key trait for joining the Data Mine is the desire to learn Data Science skills in a rigorous, but welcoming environment.

In this living and learning community, students will participate in seminars and will learn new computational tools.  Residents of the Data Mine will work in teams on projects throughout the academic year.  Students will be introduced to a broad range of concepts related to our data-driven world.

Participation in the Data Mine is a natural stepping stone for learning about Data Science.  This experience will prepare students to work on research or internships that require knowledge about managing, visualizing, and analyzing large data sets.  The seminars in the Data Mine will open students' eyes to the wide variety of possibilities for potential graduate study or employment in data-driven fields.

The Data Mine includes a one credit seminar in each of the fall and spring semesters.  Students will learn about topics such as R, data visualization, bash, regular expressions, pattern matching, SQL databases, XML scraping, and parsing, etc.  Students will also discuss topics related to professional development for research and the workforce.

Eligibility

  • Any undergraduate student with interest in the Data Sciences

Residential Component

  • REQUIRED in Hillenbrand Hall
  • Information about this residence hall can be found here
  • Your roommate in most cases will be a member of the LC
  • Completing a housing contract is a separate process from applying for the LC

Duration

Fall and Spring semesters

Associated Classes

One credit hour seminar during both semesters

Events and Activities Included:

  • Weekly dinners with LC participants
  • Tour of Purdue's computational facilities
  • Social gatherings with LC members
  • Seminars by visiting speakers and alumni
  • Meals with campus and community leaders
  • Game/recreation nights
  • Career and graduate school panels

Information above is subject to change. If you are placed in the LC, the associated courses will be on your schedule prior to you registering for the rest of your courses.

Learning Communities ERHT 1275 1st Street, West Lafayette, IN 47906 - (765) 494-5785 or (765) 494-8571, learningcommunities@purdue.edu

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