SML 201 — Introduction to Data Science



SML 201 Poster - Hands outstretched holding a cloud of datapoints


(Please note: This class has no pre-requisites and is open to students with little or no prior programming or statistics experience. It is offered both semesters.)

Introduction to Data Science provides a practical introduction to the burgeoning field of data science. Upon completion of the course, students will have learned essential tools for conducting research involving dataset analysis. 

Among other skills, students will learn how to:

  • Work with a variety of real datasets
  • Write computer code to extract information and find hidden patterns in data
  • Draw conclusions using sound statistical reasoning 
  • Produce scientific reports based on real data 
  • Use basic data analysis techniques such as stratification, classification, and regression  

The world is increasingly data driven. Students will find this class to be a challenging intellectual journey and a practical way to gain an edge in their college research; in preparing their Junior Projects and Senior Theses; in competing for top internships; and in preparing for their lives after graduation.

The archived webpage for the Spring 2020 offering is available here. Note that the course changes and evolves over time.