2 Day Fast Track
Get an overview of Data Science
2 Day Executive Fast Track
This course covers core concepts, models, and case studies for Data Science.
Executives will quickly gain a high-level understanding of an otherwise deeply technical field, and the course will help you to separate AI-reality from AI-hype. Above all, the course will help you identify opportunities that can make a real difference to your bottom line.
The course is limited to 10 participants to foster discussion within the group.
Exploratory data analysis, visualization, graphing
Bias, variance, and the bias-variance tradeoff
Model evaluation and comparison
Core machine learning methods
Text analysis and topic modeling
Neural Networks & Reinforcement learning
Data-driven business models
Big Data and Cloud Computing
Data capture and data augmentation
Digital Transformation of culture and the organization
Strategic Human Capital
The DSFM Fast Track is held in an executive conference room on the campus at EPFL (the École Polytechnique Fédérale de Lausanne) - part of the Swiss Federal Institute of Technology.
The Fast Track is limited to 10 participants to ensure high-quality discussion and information sharing within the group.
On the evening of the first day, we will also break for an Apéro where you can network with others who are facing similar problems as yourself.
Day 1: Thursday
Day 2: Friday
* The Apéro at the end of the first day is optional, and some participants may need to return home. But if you are staying over in Lausanne or otherwise free, join us for an enjoyable and informal evening.
No prior training in Data Science is required for the 2-day Executive Fast Track - we start from basic concepts. The Fast Track is designed for the busy executive who only has time to register and then show up for class!
To get the most out of your course, however, you will...
be familiar with linear algebra (although we cover very little math)
be familiar with statistics (although we will review all of the basics)
be conversant in English (the course will be given in English)
bring a laptop (Mac, Windows, Linux, or Chromebook)