On-site / Remote
Nov 20 - Feb 23
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.
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 9 - 12
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.
No need to schedule appointments; receive prompt and continuous feedback. Our teaching assistants are readily available to assist you.
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.
We assist you in finding new job opportunities and showcasing your qualifications to potential employers.
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.
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 480 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.
Hired within 6 months
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.
Mark your calendars for October 5, 2023! Are you ready to delve into the cutting-edge world of Generative AI and NLP? Join the legendary Dipanjan Sarkar, who came all the way to Switzerland and will present his workshop live at Heinrichstrasse 200, 8005 Zürich! Who is this legend, you may ask? Dipanjan (DJ) Sarkar, a renowned Data Scientist and Google Developer Expert in Machine Learning brings over eight years of industry experience to his role as Lead Data Scientist at the Schaffhausen Institute of Technology. Additionally, he serves as an independent consultant and mentor, assisting professionals in Data Science. In this workshop, he will showcase hands-on tutorials on how to tackle popular tasks using NLP, including NER, Classification, Search / Information Retrieval, Summarization, Language Translation, Q&A systems using models like BERT and ChatGPT, and popular libraries like HuggingFace, OpenAI, and the Python programming language. If you're eager to learn more about AI or NLP, this workshop is perfect for you. Beginners are welcome, and no prior knowledge or experience is required. Register today to secure your spot!
Join us in celebrating a year of growth and innovation at our upcoming event on Saturday, October 7, 2023, starting at 1 PM. We have an exciting lineup of three interactive workshops tailored to cater to a diverse range of interests and skill levels. Whether you're a beginner eager to delve into the world of coding or an advanced practitioner looking to fine-tune your skills, we've got something for everyone. Workshops: - Code an Oktoberfest Festival Directory with React - Data Analytics with Python: Analyse housing prices! - NLP and Generative AI workshop Don't miss out on this opportunity for a day filled with learning, networking, and celebration!
The herCAREER Expo is Europe's most important and largest career and networking event for women. Join us at our stand and learn more about our courses, meet employers, ask questions, and make connections in Munich! The Constructor Academy team is looking forward to meeting you there. Click the link below to reserve your ticket.
Join us on November 2, at the Graduates Fair and get to know the top employers in the Swiss economy. Establish lasting contacts in personal conversations and secure yourself an advantage over other applicants. We look forward to seeing you there!
The speed dating event for recruiting! Come to meet employers, ask questions, and make connections in Zurich! The Constructor Academy team is looking forward to meeting you there. Get your free ticket 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.
To maintain a high level of interaction and instruction, each class has an average of 10 to max. 20 students (in-class).
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.
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.
Absolutely. For those interested in this option, please select it on the application form.
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.
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 & 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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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