Data Science Bootcamp student in Zurich

Data Science Bootcamp in Zurich

Join our Data Science community in Zurich and learn all the relevant tools and technologies to become a Data Scientist in 12 weeks.

Apply now
clock

Full-Time

1
2

12 Weeks

zurich

Zurich

language

English

Program overview

Recent graduate, entrepreneur, or you want to expand your existing skill set? In any case, our Bootcamp is exactly what you are looking for. We have carefully designed our curriculum to contain the most up-to-date tools currently in demand in the job market. This is what makes our Data Science Bootcamp innovative and what will enable you to take the next step in your career.

The #2 ranked Data Science Bootcamp globally

According to SwitchUp, SIT Academy is considered the #2 Data Science Bootcamp in the world.

course report award
switchup award

Upcoming dates

Schedule: Mo - Fr, 09:00 - 18:00

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Course dates
Tuition
The next date is not yet known

Schedule doesn't fit your needs? Check out our Part-Time program.

What you'll learn

We’ve carefully designed our curriculum to contain the most up-to-date tools demanded by the job market. This is what makes our Data Science Bootcamp so innovative and what will enable you to take the next step in your career.

Get ready for the course

Free Data Science intro course

Online
Self-paced
Free of charge

Learn about Python, the data science project lifecycle, and practice on a real-world data science problem in this free self-paced online tutorial. By completing this course, you will gain a better understanding of the Data Science world and increase your chances of being accepted into the Bootcamp.


Estimated time to complete: 15 hours

Weekly schedule

Mo

Tue

Wed

Thu

Fr

Sat

09H00

12H00

13H00

18H00

On-site
On-site
On-site
On-site
On-site
On-site
On-site
On-site
On-site
On-site

Schedule doesn't fit your needs? Check out our Part-Time program.

Lecture

Learn from our instructors who are experts in their respective fields and get introduced to new topics during live lectures.

Practice

Work on a set of interesting and challenging exercises related to the topics covered during morning lecture. Practice your team-building skills by doing group projects together with your peers.

Tools we teach

Python
For many reasons, the fastest-growing programming languages globally: its ease of learning, the recent explosion of the Data Science field, and the rise of Machine Learning. Python also supports Object-Oriented and Functional Programming styles, which facilitate building automated tasks and deployable systems. There are plenty of Python scientific packages for Data Visualization, Machine Learning, Natural Language Processing, and more.
TensorFlow
TensorFlow is an open-source software library for Deep Learning developed by Google. Across a range of tasks, it can build and train neural networks to detect and decipher patterns and correlations analogous to the learning and reasoning that humans use. It is highly optimized to run in computational servers where task parallelization is possible.
SQL
Relational Database Management Systems (RDMS) are present in any kind of data-oriented system. RDMS are comprised of columns and rows to store data within a structured format and are a potent tool to store massive amounts of information. SQL is the language to query and manipulate data in RDMS and is, for this reason, very relevant in the field of Data Science.
Scikit-learn
Scikit-learn is the most established and developed Machine Learning library. It features various classification, regression and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. It directly interoperates with the numerical and scientific libraries NumPy, Pandas, and SciPy.
Git
Git is a free and open-source version control system designed to handle everything from small to huge software projects (Linux kernel). It allows you to keep track of the code changes and collaborate with others on a project. You will use it daily during our Data Science course.
NumPy & Pandas
NumPy is the fundamental package for scientific computing with Python, adding support for large, multi-dimensional arrays, along with an extensive library of high-level mathematical functions. Pandas is a library build on top of NumPy for data manipulation and analysis. The library provides data structures and a rich set of operations for manipulating numerical tables and time series.
Cloud Services
More and more companies are moving to cloud computing systems. It has become the primary location for businesses to store data, train ML models, and deploy production systems. Having experience with a cloud system will make you stand out in today's job market.
PyCaret
PyCaret is an open source, low-code machine learning library in Python that allows you to go from preparing your data to deploying your model within minutes. It also has Automated ML capabilities to build a suite of trained models in minutes on any problem and assist with model selection and tuning.

Our instructors

One of our biggest assets is our instructors. Besides our internal Data Science team, we always bring in selected external experts from industry. These external instructors keep us in constant contact with trends and requirements in industry and allow us, as well as yourself, to build a well-established network. We really care about selecting instructors with outstanding didactic skills and constantly improving our teaching based on your feedback. Have a look at our impressive team of instructors and their diverse backgrounds.

Instructors

Our capstone projects

What clearly sets us apart from other Bootcamps is that we organize REAL projects with REAL companies. We do not rest when it comes to finding companies who can provide exciting projects for you and your course mates. This gives your portfolio a big push, and you wouldn't be our first student who might get hired by one of these companies after the project. Also, we are not shy! If you are interested in a particular company, we are very happy to contact them to see whether we can start a project together.

Final projects

How your final project could look like

nispera

Energy loss due to soiling in photovoltaic plants for Nispera

Data Science

Project by: Daniel Gisler, Dave Lonsdale, Konstantinos Kirtsonis

More info
advertima

Targeted advertisement for Advertima

Data Science

Project by: Sarah Krumulis, Matthieu Bornet, Olena Levchun

More info
caru

«Hello CARU!»

Data Science

Project by: Juhyun Schöbi, Guillaume Azarias, Christophe Bousquet

More info

Application process

Apply to the program

Send us your CV or LinkedIn profile

First motivational interview with SIT Academy

Prepare for the technical interview

Pass the technical interview

Pay a deposit to secure your spot

Complete your preparation work before the Bootcamp starts

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Students say

Karolin Franke

Karolin Franke

Data Science

"I had my eyes set on working for a certain company. SIT Academy reached out to them regarding a final project and I’m now a Data Scientist there!"

BeforePharma Intern

AfterData Scientist at Ava Women

Linda Maria De Cave

Linda Maria De Cave

Data Science

"The instructors had amazing backgrounds in famous companies such as Google and LinkedIn, always able to stimulate my interest and to answer my questions."

BeforePost-Doctoral Researcher Mathematics

AfterData Scientist at eBay

Michal Ziemski

Michal Ziemski

Data Science

"An invaluable and life-changing experience! It never gets boring and keeps satisfying the never-ending appetite for knowledge."

BeforePostdoctoral Researcher Biology

AfterAI Engineer at Oto.ai

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.

We support you to find your next dream job

  • Individual progression sessions
  • One-to-one sessions with career advisors
  • Cover Letter and CV writing sessions
  • Sending your CV to our network of hiring companies
  • In house events such as our Hiring Day
  • Opportunity to collaborate with companies on a project
Coaching

FAQs

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Instructors

Team Member

Cesar Ilharco

Advisor & Instructor
I’m curious and I enjoy exploration: have yet to live in a city for more than 5 years. I studied App...
Team Member

Dr. Eric Weber

Advisor & Instructor
Previously at LinkedIn, I am now the GM of Experimentation and Data Science Leader at Yelp. My passi...
Team Member

Sekhar Ramakrishnan

Instructor
I love making data speak. Visualizations combine programming and art, logic and aesthetics, to help ...
Team Member

Andrea Meier

Instructor
As a statistician in the medical sector, I am very happy to convey a solid knowledge in statistics t...
Team Member

Gerry Liaropoulos

Instructor
As an experienced Data Scientist in the fascinating sector of Life Sciences, I am using a variety of...
Team Member

Dr. Mark Rowan

Instructor
What drives you? For me, it's about using data to tell a story and change the world. Whether it's ne...
Team Member

Afke Schouten

Director of Studies - AI management, HWZ
Afke Schouten studied mathematics at the University of Leiden and econometrics and management scienc...
Team Member

Eduardo Vioque-Martínez

Instructor
I enjoy discovering hidden patterns in data, constructing narratives on findings, and ultimately dev...
Team Member

Dipanjan Sarkar

Instructor
Dipanjan (DJ) is a Data Science Lead at Applied Materials, leading advanced analytics efforts around...
Team Member

Dr. Nitin Kumar

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

Dr. Pavlin Mavrodiev

CTO
Once a software and electrical engineer, Pavlin has been fully immersed into the field of big data...
Team Member

Badru Stanicki

Data Science Program Manager & Instructor
With a Masters in Physics, Badru got into scientific programming and data science during his time at...

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