Full-Time CourseData Science Bootcamp

Become a Data Scientist or Data Analyst in 12 weeks by acquiring the required knowledge in Python, Data Analytics, Machine Learning, Deep Learning, NLP and Generative AI. Solve an industrial data problem for the Capstone project.

Apply now
Data Scientist
clock

Full-Time

1
2

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.
course report award 2022 for data science bootcampswitchup award 2021 for data science bootcamp
Data Science Intro Video

Upcoming Dates

Course dates

Aug 26 - Nov 15

Apply by

Jul 26

Tuition

12'700 CHF

Schedule

  • Mon - Fri

    On-site

    • 09.00 - 12.00Lecture
    • 13.00 - 18.00Practice

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

PracticeWork 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.

Where our students get jobs

Get your dream job - we'll support you along the way!

Axpo
Swiss International Air Lines
Google
Swisscom
Axa
Ergo Group
Ebay
Novartis
Adobe
Pagoda
Elca
Ginetta
Atos
Ippen Media
Roche
ETH Zurich
Pictet
Upc
Qualityminds
Avrios
Ergon
Axpo
Swiss International Air Lines
Google
Swisscom
Axa
Ergo Group
Ebay
Novartis
Adobe
Pagoda
Elca
Ginetta
Atos
Ippen Media
Roche
ETH Zurich
Pictet
Upc
Qualityminds
Avrios
Ergon
APGSGA
Sygnum
Web Republic
Synvert
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
Dormakaba
Comparis
Climeworks
Mediaire
Six Group
Swiss Re Group
SAP Software Solutions
Edge5
Smartfactory
APGSGA
Sygnum
Web Republic
Synvert
Brack
UBS
Globus
Credit Suisse
Migros
Ruag
Accenture
Ernst & Young
Dormakaba
Comparis
Climeworks
Mediaire
Six Group
Swiss Re Group
SAP Software Solutions
Edge5
Smartfactory
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Thi Tuyen Nguyen

Thi Tuyen Nguyen

Data Science

The intense curriculum of the bootcamp pushed me outside my comfort zone, enhancing my resilience and passion for continuous learning while equipping me with essential skills for a transformative career in data science.

BeforePostdoctoral Researcher

AfterArtificial Intelligence Intern at Baader Bank AG

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What you will learn

  • After applying

    Preparation work

    To get the best out of our Data Science course good preparation is key. Therefore, we have put together a preparation course that specifically prepares you for it. Depending on your previous knowledge, this requires about 1-2 weeks of intensive work.
    • Learn about statistics, basic probability, calculus and linear algebra, version control, and Python.
    • If needed, our team is on call via Discord to support you.
  • Week before start

    Open session

    Meet your fellow students for an evening session the week before the program starts. Review the preparation work and exchange your problems and solutions with the class.
  • Week 1

    Data Science toolkit

    • Learn the tools and programming languages relevant to Data Science.
    • Python fundamentals for Data Science, version control (git and GitLab), organizing and structuring data science projects.
    • In-depth data wrangling in Python (accessing online data through APIs, data cleaning, and exploration with Pandas).
    • Work with both JupyterLab and integrated development environments.
  • Week 2

    Statistics & experimental design

    • Use statistical methods to assist decision-making using critical methodologies like A/B testing.
    • Apply inferential statistics, parameter estimation, and hypothesis testing on Data Science problems.
    • Learn about probabilistic modeling and generalized linear models and solve real-world problems.
  • Week 3

    Data visualization

    • Use advanced visualization techniques for extracting actionable insights from data and create visually compelling stories.
    • Create interactive figures and even full-fledged dashboards leveraging tools like Matplotlib, Seaborn, Plotly, and Dash.
  • Week 4

    Machine Learning I

    • Gain an in-depth view of supervised learning methods (regression and classification).
    • Learn ML core concepts (ex: gradient descent, linear vs non-linear models, loss functions, cross-validation, tuning).
    • Solve real-world scenarios, including tackling imbalanced data and selecting suitable models.
    • Build advanced end-to-end machine learning pipelines.
  • Week 5

    Machine Learning II

    • Optimize model performance using hyperparameter tuning.
    • Use model interpretation frameworks such as LIME and SHAP.
    • Apply unsupervised learning methods (clustering, outlier detection, and dimensionality reduction).
    • Learn about the most recent advancements, applications, and frameworks for Auto-ML (PyCaret, TPOT, and Auto-Sklearn).
  • Week 6

    Deep Learning

    • Learn the theory and history behind neural networks and deep learning.
    • Build your own networks using TensorFlow and Keras - Artificial Neural Networks and Convolutional Neural Networks.
    • Use deep transfer learning and state-of-the-art Deep Learning models to solve computer vision problems like image classification and segmentation.
    • Interpret and explain deep learning models for vision using techniques like Grad-CAM.
  • Week 7

    Natural Language Processing (NLP)

    • Learn NLP core concepts (e.g.: named entity recognition, topic modeling, document classification, similarity, embeddings, etc.).
    • Learn and practice how to transform unstructured text into structured features and train classical ML models.
    • Solve diverse problems like classification, recommendation, summarization, named entity recognition, and more.
    • Use Deep Learning models and Transfer Learning including Transformers to solve more complex tasks (language translation, contextual similarity, semantic search, and more).
    • Learn about Generative AI for NLP, Prompt Engineering and Large Language Models (LLMs) like ChatGPT to solve diverse NLP tasks including QA Chatbots.
  • Week 8

    Machine Learning Engineering

    • SQL is one of the most requested job interview skills. In 3 days, we bring you from a complete beginner to an advanced level so that you are well prepared for your future job interviews.
    • Learn how to approach a Data Science project effectively by using conventional workflows and creating a clean project structure.
    • Learn about MLOps best practices such as model & data version control, experiment tracking, model and code testing, and CI/CD for ML projects.
    • Use Docker containerize and serve your model, making it accessible via an API that you will deploy on a cloud server.
  • Week 9 - 12

    Capstone project

    • Solve real Data Science problems provided by companies and research institutions.
    • Experience the complete Data Science process: from defining your business problem, exploring the data, applying suitable machine learning techniques, to finally delivering a functional prototype.
    • Get coached and present your work in a public meetup.

Mentorship

At Constructor Academy, we mentor our students, with a focus on placing their individual needs and goals at the center of our approach. Our goal is to empower our students to succeed by providing them with the guidance and support they need to achieve their full potential.

Ongoing mentorship

No need to schedule appointments; receive prompt and continuous feedback. Our teaching assistants are readily available to assist you.

Real-world projects

Effective mentoring equips you with the skills to tackle actual work challenges. Our capstone projects mirror real industry projects, bringing together all that you have learned.

image with the word you in capital letters

Career coaching

We assist you in finding new job opportunities and showcasing your qualifications to potential employers.

Live lectures

Learning can be tough, and that's why the dropout rate for self-paced courses is as high as 85%. We recognize that interactive, human-led instruction is crucial to achieving ambitious learning objectives.

Application process

  • checkApply to the program here
  • check

    Send us your CV or LinkedIn profile

  • check

    First motivational interview with Constructor Academy

  • check

    Prepare for the technical interview

  • check

    Pass the technical interview

  • check

    Pay a deposit to secure your spot

  • check

    Complete your preparation work before the Bootcamp starts

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

Topics

Data Analytics

Examine large and complex data sets to uncover insights, trends, and patterns that can inform decision-making.

ML & AI

Train computer algorithms to learn patterns and make predictions or decisions without explicit instructions, based on data inputs.

DevOps

Efficiently manage team tasks and collaborate using GitLab. Gain the ability to deploy your applications on the web and seamlessly connect them to each other.

Python

Python is taking over the world!

Python is the market leader in many sectors:

  1. Data Analytics
  2. Machine Learning
  3. Artificial Intelligence
  4. Scientific Research
  5. Software Prototyping
  6. Generative AI
  7. And more...

Hands-on

Over 480 hours of hands-on training

Take part in the AI revolution!

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

Finish your professional transformation by working on an industry relevant capstone project.

Preparation phase

Organize your project

  • Receive and/or set the requirements
  • Set milestones

Development/Creation phase

Work in a team

  • Use collaborative tools
  • Split and coordinate different tasks
  • Learn from your fellow teammates
  • Build your first real world project

Presentation

Leave your first mark in the industry

Present your capstone project with your team mates in front of attendees from our network.


Sign up for the next final presentations on .

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brain-mri-classification-kantonsspital-winterthur
Data Science

Brain MRI Classification in collaboration with Kantonsspital Winterthur

Project by:
Cornelia Schmitz, Norbert Bräker

Project description
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See full list.

Career support

1,000+

Alumni network

95%

Employment rate

85%

Hired within 6 months

We support you in finding your next dream job:

  • 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

Choose your location

Visit our campus in Zurich

Would you like to see what your time at Constructor Academy could be like and where our students spend most of their time? Then contact us for a visit of our campus.

Constructor Academy
Heinrichstrasse 200
8005 Zürich
+41 (0)44 797 51 43

Schedule a visit

Financing options

At Constructor Academy, we believe that finances should never be a barrier to accessing the education and training that can help individuals achieve their goals. That's why we offer a variety of financing options to make our courses more accessible to a diverse range of students. We also work with external organizations that provide financial assistance to those in need.

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Certificate from top coding school

Get certified by Constructor Academy, one of the world's top coding academies. Share your certificate on social networks, CVs and more. Boost your career with the new skills that you gained.

Certificate

Upcoming events

Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.

  • Open Day | Zürich

    calendar25. Jul 24, 05:30 PM - 07:30 PM GMT+2

    map-pinLintheschergasse 7, 8001 Zürich

    Come to our Open Day on Thursday, July 25! We are excited to announce that we are moving locations to serve you better. Join us to explore our newest campus, conveniently situated in the heart of Zurich. You'll also have the opportunity to learn about our career programs in tech and our short courses in Python and Generative AI. See you there!

  • Open Day | Munich

    calendar25. Jul 24, 05:30 PM - 07:30 PM GMT+2

    map-pinLandsberger Straße 110, 80339 Munich (first floor) and online

    We are delighted to announce the opening of our new Munich office and would like to invite you to our Open Day! Mark your calendars for Thursday 25 July at 17:30 and join us at Landsberger Strasse 110, 1st floor. Come and explore our fantastic new premises, which are perfectly located in the heart of Munich. We'd love for you to drop by and get to know our amazing team! If this sounds like you, register now to secure your place!

  • Final presentations of our Full-stack and Data Science students (Switzerland)

    calendar02. Aug 24, 06:00 PM - 08:00 PM GMT+2

    map-pinOnline via Zoom

    Join us for a dynamic presentation during which our bootcamp graduates from Constructor Academy will showcase their final projects, marking the completion of a three-month intensive training program. Developed over a three-week sprint, these projects stand as a testament to the hard work and innovation of our students. Constructor Academy is delighted to extend an invitation to you for this special event. Students, alumni, family, friends, and representatives from various companies will be in attendance, making it a unique opportunity to experience the latest in tech creativity and connect with new talent. Reserve your spot today to be part of this event.

  • Final presentations of our Full-stack and Data Science students (Germany)

    calendar02. Aug 24, 06:00 PM - 08:00 PM GMT+2

    map-pinTBA

    Join us for a dynamic presentation where our bootcamp graduates from Constructor Academy will showcase their final projects, marking the completion of a three-month intensive training program. Developed over a three-week sprint, these projects are a testament to the hard work and innovation of our students. Constructor Academy is delighted to invite you to this special event. Students, alumni, family, friends, and representatives from various companies will be in attendance, providing a unique opportunity to experience the latest in tech creativity and connect with new talent. Reserve your spot today to be part of this event.

Empty room with chairs

FAQs

  • What’s the non-technical interview?

    caret

    Lasting 20 minutes in-person or over video call, it gives us a chance to get to know you, your professional experience, motivation and goals for participating in the program.

  • How many students are there per class?

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    To maintain a high level of interaction and instruction, each class has an average of 10 to max. 20 students (in-class).

  • Is the duration of the Bootcamps long enough?

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    Absolutely. For the Full-Stack and Data Science programs, 12 weeks of intensive practice (40 hours in the classroom with an additional 20-30 for course work per week) will give you what it takes to step into one of these fields.

  • What coding level do I need?

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    Though coding experience is not necessarily a prerequisite, we expect you to have been exposed to programming before, whether in industry, academia, or self-study. Motivation, hard-work, and drive are what we're most looking for.

  • I’d rather participate from another location. Can I attend the program remotely?

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    Absolutely. For those interested in this option, please select it on the application form.

  • Is there a difference between the in-person and remote option?

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    None at all. You’ll be joining the in-class participants for the same program and follow via our live stream platform. You’ll get the same attention from our staff as if you were on site.

  • What’s the technical interview like for the Data Science program?

    caret

    The candidate will receive an email with a list of Python tutorials to complete before the interview. The interview date and time will be set such that there is around one week to get prepared for it.
    On the day of the interview, the candidate will receive a data challenge by email and will have 2 hours to work on it. After submitting the results, a Constructor Academy team member will connect to discuss the results of the Data Challenge (around 15 min). Subsequently, a 30 minute Python coding assessment is conducted to determine the candidate’s structural and logical thinking. The whole process will take 2 hours, 45 min and be based on the tutorials sent before.

  • Which job positions can I apply for after the bootcamp?

    caret

    Completing our Data Science Bootcamp opens up numerous possibilities in the tech job market. Here are some of the job positions that you can apply for as a graduate: • Data Scientist • Data Analyst • Data Engineer • Data Architect • Machine Learning Engineer • Business Intelligence Engineer

Contact us

Instructors

Team Member

Dr. Ekaterina Butyugina

linkedin

Data Science Program Manager & Instructor

Ekaterina studied mathematics at university and worked as Junior Researcher in Russia where she did her PhD in Continuum Mechanics. Looking for the opportunity to find something close to science but more dynamic and applicable to real life, she joined the Data Science program, then stayed on as a TA and later joined the team as a Data Science Consultant. She likes to work with data and apply both analytical and creative approaches, trying new techniques and sharing them with other people.

Team Member
company

Sekhar Ramakrishnan

linkedin

Instructor

I love making data speak. Visualizations combine programming and art, logic and aesthetics, to help data communicate; it is always satisfying to guide students through these disparate disciplines to learn to read, appreciate, and design their own visualizations.

Team Member
company

Gerry Liaropoulos

linkedin

Instructor

As an experienced Data Scientist in the fascinating sector of Life Sciences, I am using a variety of Machine-Learning methods to help the industry make more informed decisions with the end goal of effecting a positive change on patients’ lives.

Team Member

Dr. Mark Rowan

linkedin

Instructor

What drives you? For me, it's about using data to tell a story and change the world. Whether it's neuroscience, aerospace, telecoms, insurance, or voice tech - I love getting into the data and making things happen.

Team Member

Dipanjan Sarkar

linkedin

Lead Data Scientist & Instructor

Dipanjan (DJ) is a Lead Data Science Consultant & Instructor, leading advanced analytics efforts around Computer Vision, Natural Language Processing and Deep Learning. He is also a Google Developer Expert in Machine Learning. Dipanjan has advised and worked with several startups as well as Fortune 500 companies and is also a published author, having authored several books on R, Python, Machine Learning, Natural Language Processing, and Deep Learning. He loves sharing his knowledge with the community to help them grow in their own journey in Data Science.

Team Member
company

Jesús Luque Jiménez

linkedin

Senior Manager of Data Science

Jesús Humberto Luque Jiménez is a Senior Manager of Data Science at LAYA Group, a Constructor Learning Data Science instructor based in Munich, Germany. With a strong background in data analysis, machine learning, and statistical modeling, he is a true data science expert. Jesús is dedicated to driving innovation and success, overseeing the development of data-driven solutions in the company.

Team Member
company

Magdalena Picariello

linkedin

Instructor

Statistics enables you to understand the world around you. To discover new relationships, and to model their impact. As an independent Data Scientist, I help companies find such insights. As a statistics instructor, I show students how to frame the problem, and draw conclusions.

Team Member
company

Dr. Marie Bocher

linkedin

Data Science Consultant

Marie has 7 years of experience in developing, deploying, and teaching machine learning and statistical models. At Constructor Learning, she consults companies and mentors individuals on various data science and software engineering topics. She is dedicated to sharing her expertise on these topics with a hands-on, interactive approach to teaching.

Team Member

Afke Schouten

linkedin

Director of Studies - AI management, HWZ

Afke Schouten studied mathematics at the University of Leiden and econometrics and management science at the Erasmus School of Economics. As a management consultant and senior data scientist, she has led various AI projects and set up AI organizations for international and Swiss companies. She is currently working as a researcher and freelancer in the area of AI management and is the director of studies for AI Management at the HWZ University of Applied Sciences. It is her mission is to help organizations generate true business value with AI and support organizations in creating an environment in which Data Scientists can thrive.

Team Member
company

Pavlin Mavrodiev

linkedin

Data Scientist

Pavlin has extensive experience in both teaching and the data science industry. He has served as a lecturer at the ZHAW (Zurich University of Applied Sciences) and Lucerne University of Applied Sciences and Arts, imparting his knowledge to students. Currently, Pavlin is a Full-Stack Data Scientist at UBS, where he plays a pivotal role in the development of a cutting-edge AI Fairness platform and provides AI solutions for lending and sales.

Team Member
company

Angela Niederberger

linkedin

Teaching Assistant - Data Science

Angela holds a Master's Degree in Sustainable Development and worked with data in the non-profit sector for a couple of years. In 2020, she decided to complete the Data Science Bootcamp at Constructor Learning to enhance her skills for creating value from data. She now works as a Data Science Assistant, helping the students grow their own Data Science skills.

Team Member
company

Sibel Atasoy Wuersch

linkedin

Head of Data at Frontify

Having over a decade of experience in the data science industry, Sibel is highly skilled in her domain. She has worked at prominent companies such as Paypal, Ebay, and a Swiss Startup Ava Women, which has helped her accumulate extensive expertise in data-related tasks. Currently serving as the Head of Data at Frountify, she is responsible for developing data ecosystems, monitoring and assessing important KPIs, and setting both strategic and tactical goals for the data team.

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