Professional Development


After work, learn and hone specific data science skills in part-time courses taught by industry leaders. Ideal for the working professional, these courses – typically 36 hours spread across 12 weeknights – are designed to provide laser focus on relevant topics and skills that will enhance your career.

Big Data Processing with Apache Spark

Learn the Apache Spark framework fundamental concepts, overall architecture, APIs, and language interfaces of Spark.

Deep Learning with TensorFlow

Learn the core concepts of deep learning using TensorFlow, Google’s open-source computation graph library.

Data Visualization with d3.js

Learn data visualization and D3, the powerful JavaScript library frequently used to create data visualizations on the web.

New York City
San Francisco

Introduction to Data Science

Learn how data science is done in the wild, with a focus on data acquisition, cleaning, model creation, and validation.

New York City
San Francisco

Machine Learning: Algorithms and Applications

Learn the core principles of machine learning using a hands-on, project-based curriculum.

New York City

Statistical Foundations for Data Science and Machine Learning

Learn basic statistical principles that are often used by data scientists and applied statisticians.

New York City

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