Who in your company do you want to train?

We offer in-house company trainings on Data Science, Machine Learning and Artificial Intelligence for all your teams.

Here are the most common profiles companies choose to retrain:

Why our clients choose us

Kurt Delaplace | Crunch Analytics

Kurt Delaplace

Team Lead, In The Pocket

I wanted to have a better understanding of Machine Learning, to enable me to spot the opportunities to use this new technology within my projects. Participating in the sessions by Crunch Analytics has helped me to guide my team in the right direction, and improve the way we build applications. 

Why choose Crunch?
  • Get a clear understanding of how Machine Learning works
  • Improve products using Machine Learning
  • Be able to lead your development team better
Thomas Mons | Crunch Analytics

Thomas Mons

Director of Engineering, In The Pocket

Our goal is create digital products that make people happy and makes businesses grow. Within 3 years all digital products will contain some form of artificial intelligence. Hence, it is essential for us to keep up with these technologies!

Why choose Crunch?
  • Embrace the shift towards Artificial Intelligence to stay relevant to users
  • Build the ability to identify Machine Learning opportunities
  • Strengthen and maintain human capital
Michael Warner | Crunch Analytics

Michael Warner

Integrations Engineer, Showpad

Like many other companies Showpad has not remained blind to the opportunities offered by data science and machine learning. My participation in these sessions has allowed me to apply machine-learning tools and techniques in my day-to-day job, moving closer to a role as a fully fledged data scientist. 

Why choose Crunch?
  • Full hands-on materials, examples and notebooks you can keep for later
  • Perfect pace, not too fast nor too slow, straight to the point
  • Learn from very knowledgeable mentors, always available to answer questions and help out wherever possible
Kerensa Tiberghien | Crunch Analytics

Kerensa Tiberghien

Clinical Data Scientist, MoveUP

At moveUP we are moving from expert-driven to data-driven predictions to offer the best suited rehabilitation therapy for each our patients. Participating in these training sessions was the ideal way for me to acquire better insight into to possibilities offered by machine learning within this context.

Why choose Crunch?
  • Gain the necessary insights to prepare for your data science project
  • Ask and discuss your challenges with the mentors
  • Hands-on training means you will be able to really apply Machine Learning afterwards

Your teachers

  • Louis-Philippe Kerkhove | Crunch Analytics

    Louis-Philippe Kerkhove

    Co-Founder and CTO/COO

    Louis-Philippe started out in business and economics, but quickly developed a passion for algorithmic and mathematical problem solving. After spending time in academia - and earning his PhD in 2016 – he is now leading the analytics team at Crunch Analytics, applying this knowledge to solve real business problems using cutting edge tools and techniques.

  • Jacob Denolf | Crunch Analytics

    Jacob Denolf

    Academy Lead

    Jacob started his career in theoretical mathematics, but switched towards the applied side, getting a PhD at the department of data analysis. With a deep passion for analytics he now immerses himself in training future data scientists and making the data dreams of our clients a reality.

  • Haeike Josephy | Crunch Analytics

    Haeike Josephy

    Data Scientist

    Haeike started her career in physiology and evolutionary biology, but eventually transitioned towards studies in statistical data analysis. During her time teaching at Ghent University she obtained a PhD within that same field, with a particular focus on correlated data structures and causal inference. In her work, she greatly enjoys facing challenging puzzles that allow her to improve and explore, from one day to the next.

Interested in how you can use data to make an impact?

contact us