Data Modeling

Data Modeling is an introduction to the exploration of the dynamic field of data science! Recognizing the profound impact of data in society, you’ll explore real-world applications and ethical considerations in working with data. Each week, we will unpack questions like “What part of the story is told by data?” and “How is this data being represented?”. We will not only cover the essential principles of data modeling but also introduce you to powerful free tools such as Google Sheets, Python, Colab, and CODAP, equipping you with the skills to navigate the world of data with confidence. Throughout the course, you will engage in project-based units, becoming adept data explorers. These hands-on experiences will deepen your understanding of crucial data science concepts: including data analysis, sampling, bias and data ethics, probability, modeling with data, and making and evaluating data-based arguments. This course is adapted from YouCubed, a highschool Data Science course created by Stanford professors.

Completion of this course requires regular access to a laptop or desktop computer with working microphone and webcam, as well as a reliable internet connection.

This Fixed-Paced course incorporates a blend of synchronous and asynchronous elements. Students and teacher meet live via zoom on a regular weekly schedule. In addition, students complete coursework including guided readings, interactive videos, text and video-based discussion threads, problem sets, individual and collaborative projects, and so on. While these activities are time-flexible, teachers sequence them with weekly deadlines to help students keep on track and encourage and support the development of productive time management skills.