4 courses with the subject DS, 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.
DS 1010Data Science I: Introduction to Data Science and Artificial Intelligence1/3
This course provides an introduction to the core concepts in Data Science and Artificial Intelligence. It covers a broad range of methodologies for working with and making informed decisions based on real-world data. Core topics include Python programming, data cleaning and preparation, statistics, data analytics, machine learning, natural language processing, data modeling, visualization, and business intelligence. In addition, the course emphasizes responsible and ethical considerations in the use of AI. Through hands-on activities and real-world data sets from diverse domains, students will practice using modern tools and techniques to explore data, gain insights, and understand how DS and AI systems are built and applied.
This course covers a broad range of computational methods to make informed decisions on large and/or high-dimensional data sets following the data science pipeline. Core topics include collecting data via APIs, processing and managing large-scale data, cloud computing, and applying machine learning and deep learning toolkits to extract insights. The goal is to aid decision-making in different domains. Students will learn these skills by working on projects using real-world data sets.
Instances of this course will explore advanced and emerging topics in Data Science that are not covered by the current regular Data Science offerings. Content and format will vary to suit the interests and needs of the faculty and students. This course may be repeated by students for credit as topics change.
Subject
DS
Type
course
Repeatable
may be repeated by students for credit as topics change.
