Courses

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

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

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

The structure, annotation, normalization, and interpretation of genome scale assays.

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

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

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

Learn to use R programming to apply linear models to analyze data in life sciences.

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

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

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

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

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Learn fundamental principles of architecture — as an academic subject or a professional career — by studying some of history’s most important buildings.

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

Learn about Beethoven’s monumental 9th Symphony and forms of orchestral music.

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

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

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.

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

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Learn about Hector Berlioz’s Symphonie Fantastique, an iconic Romantic symphony that ushered in an era of narrative “program music.”

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 introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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

Explore the archaeology, history, art, and hieroglyphs surrounding the famous Egyptian Pyramids at Giza. Learn about Old Kingdom pharaohs and elites, tombs, temples, the Sphinx, and how new technology is unlocking their secrets.

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

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.