Feb 27 - Aug 02
* The course takes place every second Saturday.
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 the previous lecture. Practice your team-building skills by doing group projects together with your peers.
Get your dream job - we'll support you along the way!
❝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.❞
Before: Postdoctoral Researcher
After: Artificial Intelligence Intern at Baader Bank AG
Week before start
Week 1 - 3
Week 4 - 5
Week 6 - 7
Week 8 - 11
Week 12 - 14
Week 15 - 17
Week 19 - 22
Send us your CV or LinkedIn profile
First motivational interview with Constructor 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
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
Examine large and complex data sets to uncover insights, trends, and patterns that can inform decision-making.
Train computer algorithms to learn patterns and make predictions or decisions without explicit instructions, based on data inputs.
Python is the market leader in many sectors:
Over 360 hours of hands-on training
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
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.
Finish your professional transformation by working on an industry relevant capstone project.
Present your capstone project with your team mates in front of attendees from our network.
There is no upcoming final projects date fixed yet. Sign up to our newsletter if you want to get notified whenever the next date gets published.
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.
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.
Attend one of our events. Discover our upcoming workshops, info sessions, final presentations and webinars on trending topics.
Dive into the world of full-stack and data science at our online info session! Join us on January 11 at 5 p.m. for an immersive experience. Alumni keynote speakers will share their transformative bootcamp journeys, showcasing capstone projects and insights. Discover how they turned knowledge into thriving tech careers. Engage with program managers during the Q&A to get in-depth details about our courses. Don't miss this chance to explore the endless possibilities our bootcamps offer.
Join us for an exciting online workshop! On August 30, from 6:30 to 7:30, we're hosting a game-changing event: "Harnessing AI for Product Management." This exclusive workshop will delve into the incredible possibilities that AI brings to the realm of product management and development. From uncovering customer insights to streamlining processes, AI is revolutionizing the industry! Join our experts, gain valuable knowledge, and stay ahead of the curve. Don't miss out! Register now for this enlightening event, which will be conducted online via Zoom. Boost your career and propel your organization to new heights. Plus, don't forget to explore our comprehensive Product Management course, designed to empower you with the skills needed for success. Visit our website for more information and secure your spot today!
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.
Upon enrollment, you are required to pay a non-refundable CHF/EURO 3,500 deposit to reserve your seat in the program. 1/2 of the remaining balance is due by the end of the second week of the program and 1/2 by the third month of program.
The part-time Bootcamp is a 22-week program, with lectures every Tuesday and Thursday from 6pm - 9pm and every other Saturday. In addition, our students invest a few extra hours of their free time to review what they have learned and work on projects.
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.
Data Science Program Manager
Starting his career in clinical immunotherapy research, Marcus was exposed to the pressing need for better ways to make sense of patient data. With a growing interest in personalized therapies, he pursued a MSc in Bioinformatics at the University of Edinburgh and joined ETH Zürich’s Clinical Bioinformatics Unit. Now at SIT Learning, he is able to keep refining his analytical toolbox while helping people reach their goals along the way.
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.
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.
Freelance Analytics Consultant
Patrick has been building analytics solutions since 1995, applying machine learning, data engineering, data analytics & visualization. Helping customers in the finance, transportation and retail industries his experience includes software engineering & architecture in distributed systems from enterprise backends to mobile & IoT systems. Senior BI/Data Science & Software Engineer since 1995 * Applied data science, data engineering, software engineering, big data * Wide industry experience in Finance, retail, logistics Roles * Data scientist/data & ML engineer, software engineering, consulting * Lead Data Analytics Practice at swissQuant * Senior Software Engineering, Tech Lead at Credit Suisse, Logicalis, SAS, IBM Education * CAS ETH Zürich in Computer Science & Distributed Systems * Swiss Dipl. Business Informatics (Professional Master) * Executive MBA Freelance Analytics Consultant, firstname.lastname@example.org Founder omegaml.io Helping companies to productize and operationalize ML
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.
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