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Applied Machine Learning

As one of the fundamental blocks of Data Science, AI methods are being actively applied across various industries. In this online course, get an in-depth and hands-on understanding from the basics to a more advanced level.

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Program Overview

You will start with an introduction on how to link business to data, and data to Machine Learning, followed by a deep-dive into Supervised and Unsupervised Machine Learning algorithms. Over 6 weeks, you will work on several use-cases and acquire experience on the following topics:

1. How to convert a business problem into a Machine Learning problem?
2. How to define requirements for a Machine Learning project (including key performance indices) using an ML canvas?
3. In-depth, hands-on experience in creating different types of Machine Learning pipelines (supervised vs. unsupervised), including data transformation, feature engineering, building a data pipeline, hyper-parameter tuning, loss functions, and cross-validations on several regression and classification tasks
4. Hands-on experience in identifying bias and fairness of Machine Learning problems and Machine Learning model explainability
5. Designing and solving several Machine Learning use-cases, (ex: predictive maintenance, churn prediction, customer segmentation).


  • ● This remote course runs for 6 weeks on Monday and Wednesday from 16:00 to 19:00.
  • ● Every week will contain lecture and exercise modules designed to give you as much hands-on experience as possible.

What you'll learn


CHF 1'800

Upcoming Dates

Part-Time Online Programs

Machine Learning

Apply by
Mon & Wed: 16:00 - 19:00
26. Mar 21
29. Mar 21
5. May 21

Application Process and Prerequisites

This course is suitable for beginners and intermediate Python programmers.
Simply apply to the program here.



Your Instructors

Team Member

Dr. Nitin Kumar

As a Data Scientist with more than a decade of experience in data mining, pattern recognition, and p...
Team Member

Badru Stanicki

Data Scientist & Instructor
With a Masters in Physics, Badru got into scientific programming and data science during his time at...
Team Member

Dipanjan Sarkar

Dipanjan (DJ) is a Lead Data Science Consultant & Instructor, leading advanced analytics efforts aro...
Team Member

Patrick Senti

Freelance Analytics Consultant
Patrick has been building analytics solutions since 1995, applying machine learning, data engineer...

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About Us

Our motto is {CodeHard: PlayHard}

We aspire to boost Switzerland’s startup scene and tech industry by educating the next generation of Data Scientists, Full-Stack Developers, and Big Data Engineers.

We believe that the latest technologies should be accessible to everyone. We create learning environments that are inspiring and overcome doubts of the impossible. Everyone has the ability to learn tech skills, which is why we want to guide motivated and talented people towards the future of their dreams.

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