With expert faculty, a flexible learning platform, and a curriculum designed to meet the demands of today’s workforce, EPFL ensures learners gain cutting-edge skills and knowledge. Its global reputation and access to industry-relevant tools and research offer professionals a prestigious credential that enhances career opportunities in the rapidly evolving field of data science.
Introduction to Digital Skills
Go “behind the screen” to learn how devices work, how they communicate with each other, and how to use them safely, effectively – and independently.
Elements of Data Science
Understand how to automate data gathering, analysis and reporting to gain insights, contribute to strategic discussions and make data-driven decisions.
Foundations of Data Science
In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R.
Thinking and Creating with Code
Designed to give you the knowledge and skills to solve problems with code. Hands-on experience using JavaScript and Python to develop software and build websites.
Applied Data Science: Machine Learning
Learn tools for predictive modelling and analytics, harnessing the power of neural networks and deep learning techniques across a variety of types of data sets.
Applied Data Science: Communication & Visualization
Learn to make any kind of data speak loud and clear with two critical areas of the data science pipeline: communication and visualization.