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Professional Development

Courses

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.

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Big Data Processing with Apache Spark

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

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Deep Learning with TensorFlow

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

San Francisco
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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
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Introduction to Data Science

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

Chicago
New York City
Seattle
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Machine Learning: Algorithms and Applications

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

Chicago
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Statistical Foundations for Data Science and Machine Learning

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

San Francisco

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