In a world that is increasingly informed and driven by data, it is necessary to understand data, where it comes from, how it is leveraged, and how it can impact life and work. Data Science and Analytics is a first in-depth course for students to investigate the various ways that data can be stored, accessed, modified, and visualized. Students will consider impacts and ethical considerations related to ownership and bias in data as well as how data visualizations can be misleading. While this course focuses on the computer science context, data science is increasingly interdisciplinary, and students will be afforded opportunities to apply analysis and visualization techniques in fields/topics of personal interest. Content covered in this course aligns with specialty content from the Data Science content progression as defined in Section 3.5.
