Dr. Franziska Horn

Data, with Love

ML for Data Scientists Workshop (short version)

Machine Learning in Practice

This course is aimed at practitioners, who want to analyze data with machine learning algorithms.

The four-day workshop follows a "flipped classroom" format, where the participants study the theory and solve the exercises at their own speed and the results are then discussed in the group sessions.

Learning Outcomes

Please Note: This workshop focuses on the fundamental machine learning algorithms to solve practical problems in industry contexts, e.g., using sensor data. It does not cover deep learning methods to work with, for example, images or text data.



The course consists of several group sessions, where we discuss questions and results, and self-study parts in between, where you read through some chapters of the book, take notes in the workbook, test yourself with short quizzes, and work through the programming exercises. Your answers to the questions in the workbook are the basis for the group discussions.

The group sessions take place remotely via Microsoft Teams, Google Meet, Zoom, Slack, or similar. Please join the calls with your camera turned on so the sessions feel a bit more personal.

How to get the most out of this course

Think of the questions in the workbook as questions an interested colleague might ask you after the course. Following the Feynman Technique, try to explain what you've learned in your own words, which is the easiest way to identify any gaps in your knowledge.
Don't try to memorize any facts, but instead connect them with what you already know and make sure you understand the "why" behind the answers.
And if anything seems confusing, please make a note of it and ask in the next meeting!

Day 1: Intro to ML & Python

[9:00] Group Session (~30min):
Self-Study Block 1.1:
Self-Study Block 1.2:
[15:30] Group Session (~90min):

Day 2: Supervised Learning

Self-Study Block 2.1:
Self-Study Block 2.2:
[13:00] Group Session (~60min):
Self-Study Block 2.3:

Day 3: Avoiding Common Pitfalls

[9:00] Group Session (~60min):
Self-Study Block 3.1:
[16:00] Group Session (~60min):

Day 4: Case Study

[9:00] Group Session (~30min):
Self-Study Block 4.1:
[13:00] Group Session (~30min):
Self-Study Block 4.2:
[15:30] Group Session (~90min):


If you want to learn more: