Be in Demand

Speed up your transition into data science

Advanced data science education, taught in person by industry experts

In vibrant startup metropolis Berlin, Germany

12 weeks, full-time and intensive

Most advanced Curriculum in Europe

Small class sizes (10-14)

€12,500 ( Financing option available)

All classes are taught in English

Upcoming Batches

4 Jan – 30 Mar, 2021

29 Mar – 29 Jun, 2021


Data Science is such a complex topic that a single person cannot be an expert in every area. Therefore, at DSR, we have one teacher per topic. This allows for the teacher to be a master for that topic.

We source the very best experts and teachers with a track record in Data Science and Machine Learning at e.g. Deloitte, FlixBus, Zalando, HomeToGo, Amazon, New Yorker.


Data science is the intersection of engineering, analytics and business. We teach state-of-the-art Curriculum which is constantly improved every batch.

You’ll be taught by experts in the field, covering theoretical and practical uses of data science and machine learning 




Financial Advisory Analytics Manager, Deloitte


Senior Data Scientist, FlixBus


Senior Data Scientist, Zalando


Data Science and AI Educator, AI Guru


Data Scientist, 50Hertz Transmission GmbH


Senior Product Manager, HomeToGo


Senior Data Scientist, New Yorker


Machine Learning Scientist, Natural Vision UG


Professor - Machine Learning, Hochschule Karlsruhe

Davide Posillipo

Senior Consultant and Data Scientist, Deloitte


Senior Data Scientist, Körber digital

Antonio Rueda-Toicen

Senior Data Scientist, Neuraltrain GmbH

Paul Mora

Data Scientist and Economic Consultant, Oxera

Dr. Aline Quadros

Data Scientist, Flaconi


Full Stack Developer, FlixBus

Safaa AlNabulsi

Cloud Platform Engineer, Scout24 Group

Sandro Phan

Senior Recruiter Data & Tech, Flixbus

Samson Afolabi

Data Scientist, BASF

Dr. Bastian Kubsch

Data Scientist and biophysicist with entrepreneurial experience

Damian Klimke

Principal Cofounder, StartIn-Holding GmbH

Dr. Stanislav Chekmenev

Data Scientist



Data science is the intersection of engineering, analytics and business.  Below is our teaching curriculum grouped by these three dimensions:


  • Data science tools – text editors, development environment setup
  • Programming practices – test driven development, reproducibility, packaging
  • Python – Pandas, NumPy, Scikit-Learn, Matplotlib
  • SQL
  • Using a Bash shell
  • Git & GitHub
  • Data visualisation – D3
  • Deploying models with Flask and Docker
  • Distributed machine learning with Spark


  • Probability & Statistics
  • Foundations of Machine Learning
  • Practical Machine Learning
  • Working with Small Samples
  • Backpropagation & Deep Learning
  • Computer Vision with PyTorch
  • Sequential Models with TensorFlow
  • Natural Language Processing (NLP)
  • Unsupervised Learning
  • Interpreting Machine Learning models
  • Reinforcement Learning


  • Technical communication and presentation skills
  • Interview question practice & preparation


Data Science Retreat is an advanced program; we have higher initial requirements than most data science bootcamps. Don’t worry if you aren’t where you need to be yet; we are here to help no matter where you are in your data science transition.

before the interview

There are no strict requirements on your level before the interview.  Most participants have already taken their first steps learning Python or machine learning before the interview.  

We recommend that anyone considering studying at Data Science Retreat to book an interview; we are happy to give advice on what you can study to get up to speed.

before the bootcamP

Below we outline the required knowledge for our participants to explore before they study with us:


For Python, we expect students to be familiar with the following concepts outlined in the Python Tutorial:

  • Variables, Strings, Floats, Integers (Section 3)
  • Conditionals (Section 4.1 – 4.5)
  • Functions (Section 4.6, 4.7.1, 4.7.2)
  • Lists (Section 3.1.3, 5.1)
  • Tuples, Sets, Dictionaries (Section 5.3 – 5.5)
  • Reading & Writing Files (Section 7.2)

Linear Algebra & Probability

For linear algebra, participants are expected to understand:

  • the difference between a scalar, matrix & tensor
  • element-wise matrix multiplication & dot products

For probability, we expect participants to be familiar with:

  • independent, marginal and conditional probabilities
  • expectation & variance
  • the Bernoulli & Gaussian distributions

machine learning

For machine learning, we expect students to have:

  • familiarity with random forests & logistic regression
  • familiarity with bias & variance
  • understand the difference between test & train error
  • implemented a machine learning project from scratch, making use of pandas, matplotlib & scikit-learn.  The Titanic or MNIST datasets are a good place to start

Upcoming Batches

January 4th – March 30th, 2021

March 29th – June 29th, 2021


All students design, implement and present a hands-on portfolio project.  The project is a chance to show employers your new skillset.  

You won’t be alone – the Data Science Retreat staff & community will mentor you along the way.


Our goal is to get you ready for your next challenge and to set you up for success on the job market. 

We help you improve your presentation and interview skills, guide you through recruitment processes starting from updating your resume to accepting an offer.


You can join our program through an income share agreement without paying in advance, and repay in instalments once you get a job after the retreat.


After three months of hands-on work, we host a public Demonstration Day, where you will present your project to the Berlin data science community.

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Our Projects

Toy Self Driving care (2018)

A Toy self car that drives within the borders of a circuit. Marcus Jones wrote the operating system (open source) before Amazon released theirs late 2019.


Malaria Microscope (2019)

Code runs on (donated, second hand) phones; hardware is cheap to produce (60 USD). Diagnosing malaria without needing a doctor could potentially save 600k lives per year.

The project was covered by GEO magazine March 2020.


Wheelchair path recommender

Bumpy sidewalks are a problem for wheelchair users, skaters, and small robots. This project took a gold standard of roughness driving a wheelchair around Berlin with a phone attached taking accelerometer data and video of the ground. Then the team generalized their data to the entire city using google street view. The final product could recommend the smoothest path between two points on openStreetMaps.

Self- Driving robot that picks cigarette butts

Cigarette butts are hard to pick up and a serious enviromental risk. A single butt can poison 40 liters of water. This project, inspired by the Pixar movie Wall-e, built a prototype on top of the toy self driving car from previous year. The team added a robot arm and computer vision to detect the cigarette butts. The local cleaning company liked the prototype enough to have three meetings with the team.


our participants are


PhD or Post Doc

Data Analysts


Software Developers


Industry insiders

Domain experts

What graduates saY

“Intense, challenging, with huge amounts of support” –Catarina

“Most productive time of my life” –Mack

"For me it was not only stunning to see what everyone from my batch achieved within the three month of this immersive hands-on program but also to experience the great team spirit emerging among my peers."​
Dr. Lisa Heße
Deep Learning Scientist at nyris GmbH​
“The most productive 3 months of my life. DSR has been one of the best decisions I've ever made. I think the opportunity for learning and personal growth is unparalleled"​
Mack Delany​
Data Scientist, Nelson Artificial Intelligence Institute
"The learning rate is tremendous. Data Science Retreat has pushed me to my limit and beyond"
Toavina Andriamanerasoa
Senior Data Scientist at New Yorker
"I got three solid offers after the training"​
Diego Amicabile​
Chief Lead Software Engineer at Infinitec Solutions​

Some of our graduates are now at C-level/VP positions

Konstantinos Papakonstantinou

Chief Data Officer at Kreditech

Marcus Jones

Managing Director (CTO) at Weeve

Carlo Restelli

VP Risk at Grover

Jörg Döpfert

CTO and founder, Mediaire, ranked the 2nd best start-up in Germany


What companies say

“After having interviewed hundreds of aspiring data scientists over the years, my experience is that DSR graduates are almost universally in the top 10% in terms of readiness to contribute and deep domain expertise. I have so far hired 6 DSR alumni, all of which have proven highly capable individuals whose contributions have made a huge impact in Kreditech.”
Jose Garcia​
Chief Data Scientist, Kreditech​
"We hired a data scientist from DSR, and have been absolutely delighted. Not only was the person able to hit the ground running, he also impressed us on multiple occasions with his speedy delivery and well-rounded skill set. It should come as no surprise that he rose up to become a senior data scientist in short order.”​
Peter Tegelaar​
Chief Data Scientist, Catawiki​
“The graduates we hired from DSR have performed very well. We have been impressed by the skillset they had obtained in both machine learning and computer science in a fairly short period of time. The quality of the candidate pool is much higher than in the open. If we increase our headcount, we would hire from DSR again.”
Ronert Obst​
Chief Data Scientist, NewYorker​

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Lemma Group GmbH, Eislebener Str. 4, 10789 Berlin, Germany

Our Hours

09:30 AM – 6.00 PM
Monday – Friday

Contact us