Data Science
Program

Learn the tools and techniques you
need to make better decisions
through data, and land a job in one
of the most sought after fields in
tech.

Data Science
Program

Develop an in-depth understanding of fundamental concepts in Data Science while expanding your skills in R and Python. Apply your acquired knowledge in Machine Learning, Deep Learning or Natural Language Processing to solve an industrial data problem in form of your data science capstone project.

Become a
Data Scientist

Develop an in-depth understanding of fundamental concepts in Data Science while expanding your skills in R and Python. Apply your acquired knowledge in Machine Learning, Deep Learning or Natural Language Processing to solve an industrial data problem in form of your data science capstone project.

What you'll learn

Why R

R is the language of choice for statistical analysis, which is a very important feature in Data Science. R’s popularity comes from the fact that most statistical methods developed in research environments lead to production of ready to use freely available R-package. R’s popularity has led Microsoft to develop Microsoft R Open: The Enhanced R Distribution and Oracle to develop Oracle R Enterprise. From our partner companies we have learnt that along with Python, R remains the language of choice for data scientists in insurance and pharmaceutical sectors.

Why Python

Python is currently among the fastest-growing programming languages in the world. Largely, because it is easy to learn, the recent explosion of the Data Science field and the rising of machine learning in the enterprise. It has high scalability and emphasizes productivity and readability. Python is like a Swiss army knife to data scientists when they want to delve into data analysis or apply machine learning techniques. Python also supports object-oriented and functional programming styles which facilitates building automated tasks and deployable systems. There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis and more.


Tools we teach

Git

Gitlab

NumPy

Pandas

Matplotlib

BeautifulSoup

SymPy

SciPy

TensorFlow

Sqlite

Sklearn

Jupyter Notebook

Daily Schedule

  • 8:45
    Set up in the classroom with free coffee.
  • 9:00 - 10:15
    Recap, Lecture and Q&A
  • 10:15 - 10:30
    Take a short break.
  • 10:30 - 12:00
    Lecture and Q&A, continued.
  • 12:00 - 13:00
    Eat lunch in the canteen or a nearby spot along the river.
  • 13:00 - 18:00
    Work on a set of interesting and challenging exercises related to the topics covered during morning lecture. Work on your team-building skills by doing group projects together with your peers. Every 2-3 weeks, hear from some of our past students and data scientists working across different industrial sectors in Switzerland.
  • 18:00
    Go home or continue working at Propulsion. If it’s a friday, join us for our TGIF in form of a party or movie night.

Daily life of a student

Of course, your daily schedule might look differently from time to time. Sometimes there’s an event, sometimes you come in on Saturdays to work some more on your skills, and sometimes you need a break! If you want to know more about how your life at Propulsion might look like, you can have a read through our blog post of ‘A Day in the Life of a Student’ that gives you a bit more of a description on all the things you might get up to.

We've got your back!

We like giving you individual attention, which is why you will have several one-on-one sessions throughout the Program to speak with our program manager or one of our instructors.

Tuition

Upcoming Dates

Data Science

Early Apply by Apply by Start End
Apply now

Application Process

Apply to a Program
Send us your CV or LinkedIn profile
Motivational interview
Prepare for technical interview
Pass the Technical Interview
Pay 3'500 CHF deposit to secure your spot
Complete your preparation work

FAQs

Your Instructors

Dr. Nicolas Perony Advisor & Instructor

Cesar Ilharco Advisor & Instructor

Dr. Anita Schmid Instructor

Dr. Eric Weber Instructor

Sekhar Ramakrishnan Instructor

Andrea Meier Instructor

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 and Full-Stack Developers.

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.