9 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DSC 100Foundations of Data Analytics I3
In an increasingly data-driven world, everyone should be able to understand the numbers that govern our lives. Whether or not you want to work as a data analyst, being “data literate” will help you in your chosen field. In this course, you’ll learn the core concepts of inference and data analysis by working with real data. By the end of the term, you’ll be able to analyze large datasets and present your results. This online class has optional live sessions.
MTH 115 Basic Statistics Only open to students majoring or minoring in Data Science.
DSC 101Foundations of Data Analytics II3
This course is intended as a continuation of DSC 100 Foundations of Data Analytics I . In this course, you’ll learn how Data Analytics are applied within the workforce. Particular attention will be paid to the role of the Data Scientist or Analyst, machine learning and the applications of Big Data. By the end of the term, you will be able to design and execute a range of data-driven experiments. This online class has optional live sessions.
DSC 100 Foundations of Data Analytics I . Only open to students majoring or minoring in Data Science.
DSC 300Principles and Techniques of Data Analytics I3
This course is based heavily on UC Berkeley’s Data 100 class. Data Analytics combines data, computation, and inferential thinking to solve challenging problems and understand their intricacies. This class explores key principles and techniques of data science, and teaches students how to create informative data visualizations. It also explores particular concepts of Linear Algebra which are central to Data Science. This online class features optional live sessions.
DSC 101 Foundations of Data Analytics II and CPS 121 Computer Programming . Only open to students majoring or minoring in Data Science. Fall 2024 (final offering)
DSC 301Principles and Techniques of Data Analytics II3
This course builds on DSC 300 Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist. Data Analytics combines data, computation, and inferential thinking to solve challenging problems to thereby better understand the world. This class explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. It will also introduce students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields.
DSC 300 Principles and Techniques of Data Analytics I , and either MTH 165 Survey of Calculus or MTH 171 Calculus I . Only open to students majoring in Data Science. Spring 2025 (final offering)
DSC 302Data Science I3
This course is an introduction to data science in Python. The course will use advanced visualization and predictive modeling tools to turn raw data into actionable insights. The course will also teach how to use SQL to navigate databases.
CPS 101 , CPS 121 , DSC 100 , DSC 101 . Only open to students majoring in Data Science. Fall 2025 (first offering)
DSC 304Data Science II3
This course is intended as a continuation of Data Science I. This course takes a deep dive into machine learning models, natural language processing, and time series in Python.
DSC 302 , Only open to students majoring in Data Science. Spring 2026 (first offering)
DSC 400Practicum3
This course is a capstone project in which students are asked to work through a full data science workflow on a set of real data drawn from sports, politics, business or public health. This course exists to prepare students for the kind of work they will do on Data Science teams, and as such, also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders.
DSC 301 Principles and Techniques of Data Analytics II and CPS 232 Data Structures and Algorithm Analysis . Only open to students majoring in Data Science.
DSC 401A.I. and Machine Learning3
This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications.
