Programming for Data Science
CS 0030
Course Description
Fundamentals of programming for data-intensive science. Data structures and algorithms for data manipulation, cleaning, and preparation. Design of data manipulation programs. Coding standards and practices. Use and creation of software libraries. Techniques for improving program performance. Examples drawn from data preparation and transformation, statistical data analysis, machine learning, deep learning, and deep data science including recommendation systems and trend analysis.
Basic Enrollment Requirements:
Academic Year (Fall/Spring): Unofficial Transcript – High School Diploma or current high school transcript (for high school students only in applicable classes), Bachelor’s Degree, or progress towards a Bachelor’s Degree + 3.0 GPA.
Summer: None
Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here: https://universitycollege.tufts.edu/policies/refunds#Courses-at-Tufts-(Academic-Year--Summer-Session)
Remission Eligible: Yes; first day of term; all university policies apply.
Affiliated With:
- School of Engineering