Stefan Jansen

Stefan has applied data science to business, investment and policy decisions since 2001. He has built an early warning system for financial crises, and worked as advisor to Central Banks and the World Bank before moving into fintech, where he focused on data-driven product and market strategy at Rêv Worldwide, a payments tech company with operations in 15 countries. In 2013, he co-founded Infusive Ltd, a global consumer good investment company, and built the investment intelligence and predictive analytics capabilities behind several equity funds and VC investments. He also founded Applied AI that leverages ML algorithms for the finance and consumer industries, and co-founded Digital Natives to introduce state-of-the-art technology education in Mexico.

Stefan mostly uses Python for data science, machine learning and web development, alongside SQL, R and Stata, as well as the Hadoop stack and Spark when the data gets bigger. He holds Master degrees in Quantitative Economics from the Free University of Berlin and Harvard University, is a CFA Charterholder, and has worked in six (natural) languages.

Previously (17):

Data Science

Gain indispensable data science skills in this 10-week evening course, on campus or online.

6 Times

Data Science 101

This workshop will define what data science is, review some of the main tools used by data scientists today, and discuss how they can be implemented in real world work.

3 Times

Data Science Remote (Online)

Gain indispensable data science skills in this 10-week evening course, on campus or online.

2 Times

SQL Bootcamp

This bootcamp will take absolute beginners through the basics of SQL to an ability to write queries with confidence.

2 Times

Data Analytics

Gain indispensable data analytics skills in this 10-week evening or 1-week accelerated course, on campus or online.

2 Times

Python for Data Science

Learn to use Python as a powerful tool for analyzing and exploring data.

Introduction to Python Bootcamp

Master the fundamentals of the Python programming language. It is easy-to-read, flexible, and beginner-friendly object-oriented programming language.