Courses

Adelántese a la disrupción actual de la tecnología financiera y prepárese para futuras prioridades de los servicios financieros.

Explore the risks and rewards of data privacy and collection.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

Move your organization toward an AI-based model, unleash the potential of AI, and create opportunities for building competitive advantage.

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

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

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

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

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

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

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.

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

Leverage new technologies to build value for your organization.

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