Full-Time
Data Science BootcampBecome a Data Scientist in 12 weeks by acquiring the required knowledge in Python, Machine Learning, Deep Learning, and NLP. Solve an industrial data problem for the Capstone project.
Full-Time
weeks
Zurich
English
Program overview
Awarded as one of the best Data Science bootcamps worldwide
Constructor Learning's Data Science bootcamp has been recognized as one of the best in the world.
Students say
Claudia Annoni
❝The bootcamp was comprehensive and interesting with lots of practical exercises and the instructors were always available to answer our questions. It was definitely worthwhile.❞
Before: Senior Methodologist
After: Statistician at Office for National Statistics
Karim Khalil
❝The overall experience was quite positive, and I must say that the bootcamp transformed my knowledge in the field.❞
Before: Data Scientist
After: Data Engineer at UBS
Lingxuan Zhang
❝Their unique curriculum is why I choose the Data Science Bootcamp.❞
Before: PhD. in transportation planning and management
After: Data Scientist at Saporo
Where our students work
Get your dream job - we'll support you along the way!
What you will learn
Preparation work 1-2 weeks
- Learn about statistics, basic probability, calculus and linear algebra, version control, and Python.
- If needed, our team is on call via Slack to support you.
Open session
1
Statistics & experimental design 6 days
- 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.
2
Data Science toolkit 6 days
- 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.
3
Data visualization 4 days
- 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.
4
Machine Learning I 4 days
- 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.
5
Machine Learning II 5 days
- 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).
6
Deep Learning 5 days
- 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.
7
Natural Language Processing (NLP) 4 days
- 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 data and train classical ML models.
- Solve diverse problems like classification, recommendations, summarization, named entity recognition, and more.
- Use the latest state-of-the-art Deep Learning models, including transformers to solve more complex tasks (language translation, contextual similarity, search, and more).
8
Machine Learning Engineering 6 days
- 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.
9
Capstone project weeks 9-12
- 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.
Application process
Apply to the program
Send us your CV or LinkedIn profile
First motivational interview with Constructor Learning
Prepare for the technical interview
Pass the technical interview
Pay a deposit to secure your spot
Complete your preparation work before the Bootcamp starts
Get ready for the course
Free Data Science intro course
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
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.
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.
Python
Python is taking over the world!
Python is the market leader in many sectors:
- Data Analytics
- Machine Learning
- Artificial Intelligence
- Scientific Research
- Software Prototyping
- And more...
Hands-on
Over 370 hours of hands-on training
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.
InstructorsOur 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
Brain MRI Classification in collaboration with Kantonsspital Winterthur
Project by: Cornelia Schmitz, Norbert Bräker
Using AI for automatic feature prediction from product images
Project by: Valeria Polozun, Seth Dow
Classification of NOTAMs for SWISS International Airlines using AI
Project by: Jean Coupon
Earn a Certificate of Accomplishment
Share your Certificate on social networks, printed resumes, CVs or other documents. Boost your career with the new skills that you gained.
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'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
Choose your location
Visit our campus in Zurich
Would you like to see what your time at Constructor Learning could be like and where our students spend most of their time? Then contact us for a visit of our campus.
Constructor Learning
Heinrichstrasse 200
8005 Zürich
+41 (0)44 797 51 43
Financial options
At Constructor Learning, 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.
Upcoming events
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Data analytics workshop
29. Mar 23, 05:00 PM - 07:00 PM GMT+2Online via ZoomGet ready to dive into the world of data analytics with Dominik Bacher, Constructor Learning's Data Science champion and teaching consultant extraordinaire! Join us on Wednesday, March 29th, 2023, from 5 - 7 PM for an introduction to data analytics that will blow your mind. In just a few short hours, you will get an introduction to data processing basics, and data visualization techniques, he will even show you how to frame data science problems like a pro. But that's not all! By the end of the workshop, you'll have the chance to flex your machine-learning muscles and create a model that can predict housing prices. That's right, you'll be a data science superstar in no time. If you're interested in Data science and want to take your skills to the next level, this event is for you. Don't miss out on this incredible opportunity - register today to save your seat!
Details
Introduction to JavaScript workshop
30. Mar 23, 05:00 PM - 07:00 PM GMT+2Online via ZoomAre you interested in learning how to code with JavaScript? Join our Introduction to JavaScript workshop on Thursday, March 30th from 5-7 pm. This workshop is completely online and will be held using Zoom, so you can join us from the comfort of your own home. We welcome everyone who is new to coding and want to learn the basics of JavaScript. We'll cover everything you need to know to get started with coding, including what variables and data types are, how to use functions, and more. You'll even get a chance to try coding yourself! Don't worry if you're completely new to coding - we'll guide you through everything step by step. Sign up now and get ready to discover the exciting world of coding with JavaScript!
Details
Education fair Zurich
11. May 23, 11:00 AM - 07:00 PM GMT+2Zürich HB (Booth 34)Constructor Learning will be at the Zurich 2023 Education Fair. Visit us at our booth, talk to our Student Success Team or our Program Managers and learn more about our continuing education offerings. We will see you there.
Details
FAQs
What’s the non-technical interview?
How many students are there per class?
Is the duration of the Bootcamps long enough?
What coding level do I need?
I’d rather participate from another location. Can I attend the program remotely?
Is there a difference between the in-person and remote option?
What’s the technical interview like for the Data Science program?
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 Learning 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.
Instructors
Data Science Program Manager & Instructor
Instructor
Instructor
Instructor
Lead Data Scientist & Instructor
Instructor
Instructor
Data Science Consultant
Director of Studies - AI management, HWZ
Read more about Constructor Learning in our Blog
Read the latest news about Constructor Learning and get informed about all things around Programming and Data Science in Switzerland and Germany.
