May 26, 2025 (English)
May 26, 2025 (English)
100% ONLINE
26 weeks:
24 weeks of classes
2 one-week breaks
Mon-, Wed-, Thursday:
18:30 to 21:30 (CET)
Saturday:
9:00 to 17:30 (CET)
Mastering the tools used in big data and Artificial Intelligence (AI) can significantly boost your career – but you don’t have to quit your job to learn.
Holding classes only on evenings and on Saturdays, the part-time Data Science Bootcamp will teach you the theory and especially the practice of gathering, analysing and manipulating data. You’ll also master machine learning, which is the foundation of modern AI systems.
The curriculum is suited for those who wish to start a brand new career in tech, as well as for those who wish to upskill without changing their field. The schedule is designed expressly for students who already have a busy routine.
Many of the concepts you will learn will be new and unfamiliar to you. The material we’ll present you with will push you outside of your comfort zone. This is natural. Embrace it.
Before you can interpret data, you must gather it, process it, compare it. This is called quantitative work, and while it does not demand any special aptitude or preparation, it does require the willingness and the patience to work with numbers.
Our bootcamp is open to international students, and it is in English. You don’t have to be a native speaker, but you should know the language well enough to be able to follow a class, and communicate with your fellow students, without slowing everyone else down.
Our virtual platform, where you will meet your instructors and study alongside your peers, is online. To join us, you will need a computer or a laptop connected to the Internet, along with speakers/headphones and a microphone.
Data science requires patience and hard work, yes. But it’s not something only the most brilliant minds of this world can do, and it’s fine if you haven’t done any mathematics since school. If you’re still not sure, check out our article on how much maths you need to learn data science.
You don’t need any qualifications related to computer science or programming. Our bootcamp assumes no prior knowledge and covers the basics of the field in the first few weeks.
You are here to learn together with others, not to outdo them. A collaborative, friendly attitude is essential, and your only benchmark for progress should be yourself.
While you need your own computer, it doesn’t have to be equipped with the latest graphics card or a NASA processor. The tools used in this bootcamp will work on any reasonably modern computer.
Your classes will last three hours on Monday, Wednesday and Thursday, complemented with a full day of teaching on Saturday. You will learn about the theory and the mathematical foundations of data science, and from there progress to its practical and commercial applications. The bootcamp equips you with the precise skills necessary to interpret and exploit the data generated by business interactions online (or, to get your computer to do it for you!). A thorough induction in machine learning, a field of Artificial Intelligence, is also provided.
At the beginning of your bootcamp, you will have access to our Primer, a self-learning course which will acquaint you with the basics of the subject. Think of this as a ‘mini course,’ with exercises and dedicated support from a junior instructor, to familiarise you with the basic concepts that are important for your upcoming courses.
Learn how to read, clean, explore and visualise data from real businesses using industry-standard tools like SQL for data visualisation and Tableau for presentations. Then get started with Python, and become handy with libraries like Pandas and Seaborn for EDA (Exploratory Data Analysis).
The goal isn’t simply for you to handle data in the abstract, but to learn how to deliver actionable recommendations and craft business proposals.
Real use-cases for concepts in statistics become easier to handle with Python libraries like SciPy and Beautiful Soup, which let you work with fundamental algorithms and extract data. You will also shift your focus online as you study APIs and database management with Google Cloud Platform.
This module will equip you with the skills to perform traditional hypothesis testing (A/B testing to optimise web UI/UX) and to build an entire data pipeline from scratch, harnessing the power of cloud computing.
Time to start learning about AI, and more specifically unsupervised machine learning, which applies algorithms after being told what to look for, as well as supervised machine learning, in which the system finds patterns without external guidance. You’ll also deepen your knowledge of Python as you work with the Scikit Learn library.
You will practise these concepts and tools by working on real professional problems, from predicting prices in the housing market to clustering songs based on their audio features.
Generative AI and Large Language Models may produce end results that seem almost magical, but under the hood they are processing hard data. You will gain a tangible understanding of this as you build one of the most popular types of AI software: an interactive chatbot.
Your learning doesn’t end there though: as you prepare yourself for the job market, get ready for one last push of advanced SQL exercises, designed to prepare you for a technical interview.
FINAL PROJECT
It’s time to put everything you have learned to use. Build a full-scale project from the ground up with teammates in conditions similar to those you will encounter in the tech industry. Design something for use in the real world and showcase it in your portfolio when you start applying for jobs.
Learn how to read, clean, explore and visualise data from real businesses using industry-standard tools like SQL for data visualisation and Tableau for presentations. Then get started with Python, and become handy with libraries like Pandas and Seaborn for EDA (Exploratory Data Analysis).
The goal isn’t simply for you to handle data in the abstract, but to learn how to deliver actionable recommendations and craft business proposals.
Real use-cases for concepts in statistics become easier to handle with Python libraries like SciPy and Beautiful Soup, which let you work with fundamental algorithms and extract data. You will also shift your focus online as you study APIs and database management with Google Cloud Platform.
This module will equip you with the skills to perform traditional hypothesis testing (A/B testing to optimise web UI/UX) and to build an entire data pipeline from scratch, harnessing the power of cloud computing.
Time to start learning about AI, and more specifically unsupervised machine learning, which applies algorithms after being told what to look for, as well as supervised machine learning, in which the system finds patterns without external guidance. You’ll also deepen your knowledge of Python as you work with the Scikit Learn library.
You will practise these concepts and tools by working on real professional problems, from predicting prices in the housing market to clustering songs based on their audio features.
Generative AI and Large Language Models may produce end results that seem almost magical, but under the hood they are processing hard data. You will gain a tangible understanding of this as you build one of the most popular types of AI software: an interactive chatbot.
Your learning doesn’t end there though: as you prepare yourself for the job market, get ready for one last push of advanced SQL exercises, designed to prepare you for a technical interview.
A bootcamp is more than just an online course: it’s a full-immersion in an interactive learning environment in which you and other students will be as closely supported as you will be actively challenged.
Work on concrete projects based on real-life problems. Expand your skills with each new project.
Start building real projects in live, instructor-led seminars alongside your fellow students.
Gain access to our virtual platform, and network with both pros and fellow students at any time of the day.
Our instructors are hands-on professionals from the world of data science, with a proven track record in the industry and a passion for helping others learn. Each class has an assigned full-time lead instructor and additional teaching assistants in accordance with the number of students. There is always someone to help you when you need it.
Full-Stack Web & App Development Graduate (Full-time)
Full-Stack Web & App Development Graduate (Full-time)
Full-Stack Web & App Development Graduate (Full-time)
Get job-ready with our structured Career Preparation Program: a comprehensive, self-paced online course combined with interactive soft-skill workshops.
For up to 12 months after graduation, receive detailed feedback on your CV and LinkedIn profile and work on your personal branding with our Career Service Experts.
Join our community and guest speaker events and connect with industry experts, alumni, partners and employers looking for talent.
Remember, finding tuition is not something you have to do alone. Book a call with our Admissions Team by filling our application form, and let’s discuss your options together.
If you are unable to settle the tuition upfront, no worries – there are various installment plans and third-party or governmental funding options which can cover the cost of the course.
*Deadlines for third party funding may vary.
Simply fill out our application form for the bootcamp that interests you. This will enable you to schedule a call with our Admissions Managers, who can answer any questions you might have.
Weiskopffstraße 16/17
12459 Berlin
Germany
