DSC 10Principles of Data Science
This first course in data science introduces students to data exploration, statistical inference, and prediction. It introduces the Python programming language as a tool for tabular data manipulation, visualization, and simulation. Through homework assignments and projects, students are given an opportunity to develop their analytical skills while working with real-world datasets from a variety of domains.
Prerequisites
From the catalog: “none.”
Where it sits in degree plans
Suggested plans most often put it in Year 1 · Fall (1 program).
Required in (1)
- Data Science (B.S.)
One of the options in (5)
- Astronomy and Astrophysics
- Astrophysical Sciences
- Business Psychology (B.S.)
- Clinical Psychology (B.S.)
- Media Industries&Comm
Courses that list DSC 10 as a prerequisite (9)
- ASTR 150 Observational Optical Research Lab
- ASTR 154 Data Science in Astronomy
- ASTR 155 Computational Astrophysics
- COGS 108 Data Science in Practice
- DSC 20 Programming and Basic Data Structures for Data Science
- DSC 40A Theoretical Foundations of Data Science I
- DSC 90 Seminar in Data Science
- DSC 95 Tutor Apprenticeship in Data Science
- MATH 157 Introduction to Mathematical Software