Courses

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

Learn the music and cultural impact of three canonical operas from the 1800s: Les Huguenots, Das Rheingold, and Otello.

Study Baroque and Classical opera through Handel’s Giulio Cesare and Mozart’s Don Giovanni

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

An exploration of the haunting figure at the heart of one of William Shakespeare’s most famous plays.

An exploration of the magnetic and ambivalent character of Shylock in William Shakespeare’s The Merchant of Venice.

Explore Chinese history and culture from the perspective of the individual through philosophical texts, literary works, and art.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Learn to process and convert raw data into formats needed for analysis.  

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Explore acts of storytelling in Shakespeare’s Othello alongside world-class artists who interpret Othello’s story in new forms and contexts today.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Gain an understanding of history, museum studies, and curation by looking at, organizing, and interpreting art, artifacts, scientific curiosities, and the stuff of everyday life.

Learn how to read William Shakespeare's plays through his biography, Elizabethan and Jacobean history, and modern performance.

Learn basic data visualization principles and how to apply them using ggplot2.

Study Japanese scroll art as text and as "little movies" that immerse the viewer through visual narration. 

Show what you’ve learned from the Professional Certificate Program in Data Science.

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.