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Data Science & AI Bootcamp

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Aug 19, 2024
Welcome to our Data Science & AI Bootcamp. Delve into the world of Python, Machine Learning and AI, and learn to solve real-world problems using cutting-edge tools and technologies.

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Course content

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Take your career to the next level with our Online Data Science & AI Bootcamp

Whether you’re looking to switch into industry with the latest tech tools, learn AI and Machine Learning, or level up your data game, your next stop should be Data Science. At our 12-week Online Data Science & AI Course, you’ll learn everything you need to get started as a Data Scientist, including Python, Machine Learning, AI, neural networks, and the most in-demand methods and frameworks from the industry. You'll level up as a data pro, learning the tricks of the trade in data visualisation and communication with stakeholders - ensuring you’re 100% ready for a career in Data Science.

Learn Data Science and AI - Don't Get Left Behind

At our Online Data Science & AI Bootcamp, you'll be mentored by 2 top coaches, receive 540 hours of effective instruction, real-world assignments and 1:1 feedback sessions. This is also the best way to learn AI: you’ll dive into Machine Learning, and get an insight into the inner-workings of Hugging Face and other cutting edge AI tools. It’s not just numbers and tech, either. With training in agile methods and presentations, you’ll get prepared for your next role in a way that’s practical and accessible. You’ll cap it all off in the final 4 weeks with your capstone project - the cherry on top of your intensive 12-week Data Science training.

Is our Data Science & AI Course for you?

As the world relies increasingly on data, we believe anyone that’s interested in Data Science and AI should apply to our Data Science course. If you’re a natural scientist, economist or engineer, you’ll find the course a natural fit. Similarly, if you enjoy crunching numbers as a Data Analyst, marketer or business analyst, our Online Data Science & AI course can help take you to the next level. Finally, if you're looking to understand how AI works, you'll cover forward-looking technologies such as Hugging Face and go deep into Machine Learning. Ultimately, if you want to become a Data Scientist, you should have one thing above all: motivation. We promote DiversITy, regardless of gender, sexual orientation, social and ethnic background, etc., and welcome everyone who is motivated: Let's code! 🌈. Learn more about becoming a data scientist in our latest blog article.


  • Full-Time: 12 weeks (Mo – Fr, 9am – 6pm)
  • Participants: approx. 15
  • Coaches: 2 per bootcamp
  • Locations: Hamburg, Frankfurt, Munich or remote (live online)
  • Course language: English
  • Graduation: Certificate "Data Scientist"

Our coaches

Nico Steffen coach
Nico Steffen

Lead Coach Data Part-Time + Data Science

Tech Stack

Machine Learning
Agile methods
Time Series
Hugging Face
Download free info material

The course content, application process, pricing & funding all in one pdf.

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Why learn Data science? Data Science salaries in Germany are often more than €56,000 per year.

Starting dates

The next dates: Data Science & AI Bootcamp

Home alone? Come to campus to learn and exchange ideas with fellow learners. We look forward to seeing you!

19th Aug14th Nov ‘24




Less than 8 seats free

Secure seat
14th Oct20th Jan ‘25




Less than 8 seats free

Secure seat
4th Nov10th Feb ‘25




Less than 8 seats free

Secure seat


This is what you learn in our Data Science & AI Bootcamp

Learn the basics of coding


Welcome to our Data Science & AI bootcamp! After a short introduction phase in which you get to know the coaches and other course participants, we start directly with learning the basic skills required for working in a Unix shell. In addition, you will quickly learn the general basics of the Python programming language, in which you will write and execute your first small programs. 

By using Git and Github, we will introduce you to modern and collaborative ways of working in the industry. This includes versioning code, as well as working together on the codebase, where we apply concepts like "branching" and "pull requests".

You will be acquainted with the historical development of AI and  what the relationship between Machine Learning, Deep Learning and Neural Networks is. Finally a overview of Data professions will be presented including the differences between data scientist and data analyst and the role of a data engineer. 

Advanced course 'exploratory data analysis'


Building on the first phase of your Data Science training, you will now become familiar with tools such as SQL and Pandas for extracting and manipulating data from various sources - these can be individual files, but also databases. After data manipulation, you will move on to Exploratory Data Analysis (EDA), for which you will learn about different visualization libraries. 

This phase will conclude with a two-day project focused on EDA - based on real data sets, of course. With a focus on the business case, you will deliver tailored recommendations and meaningful visualizations to fictional stakeholders.

First things first: the machine learning basics

Machine Learning
Supervised Learning
Model Evaluation

Now, basic concepts of supervised learning, such as regression and classification, are covered. You will become familiar with how different models work, including linear and logistic regression, and learn about decision trees and support vector machines. You will also learn when which models are good to use and on which assumptions or simplifications the algorithms are based. 

Afterwards, we will teach you about model evaluation and which trade-offs you have to consider when building predictive models. You'll solidify everything you've learned in a 4-day machine learning group project that covers the entire data science lifecycle. Together, you'll set milestones and the goals of your data product while working collaboratively with Git and Github - then present to stakeholders*.

We dive deeper: advanced machine learning

Unsupervised learning
Dimensional reduction
Time series

Phase 4 of your Data Scientist training: With a basic understanding of statistical learning techniques and the underlying software implementation, you are now diving into more specialized methods, such as time series prediction.

In a world where much of the data generated is "unlabeled," it's important to also address the challenges of unsupervised learning. Therefore, in the Data Science course you will also get an introduction to the techniques used for this purpose, such as dimension reduction and clustering. 

Neural networks and their applications

Artifical Neural Networks
Natural Language Processing
Hugging Face

In order to also gain a good understanding of the concepts that are often referred to as "AI" today, you will receive an introduction to artificial neural networks in Phase 5 of the Data Science training. Building your own deep neural network will improve your understanding of the underlying processes and concepts. 

At this stage you will also get introduced to the concept of transfer learning and get acquainted with pre-trained model repositories such as ‘Hugging Face’.

In the course of this, typical application areas, such as natural language processing and related techniques, will also be covered. Then it's time for the final phase of your training to become a Data Scientist.

Your finale at the graduation event

Agile methods
Capstone project
Group work
Machine Learning Lifecycle

In order to apply what you've learned in practice and to deepen group work and collaboration even more, the final project provides context and time. Here you will work in small groups on a larger data science problem - from start to finish. Here, each team can choose to find their own problem, use publicly available datasets, or work with data from our corporate partners to solve a real-world business problem.

As a team, you'll develop a solution and regularly present interim results. In the process, you'll apply all your technical and agile skills and learn additional techniques tailored to the project. You made it! Congrats! 🙌🏼

Refer us and get 500€ !

Our partner companies

Our locations

Study at an on-site campus

Need a change of scenery? Use one of our three locations throughout Germany: Hamburg, Frankfurt or Munich.

To the locations

Digital campus

Study at our digital campus.

Remote and flexible: our Bootcamps offer you everything you get at our locations - except the coffee. Check out all the benefits of our digital campus now.

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Simple and affordable

12 weeks Data Science Bootcamp starting from 9.500€*
*for self-paying persons

Education must be affordable. Check out all the financing options now.

Education voucher
Agentur für Arbeit

Pay directly
No problem

Payment by the employer
Re- & Upskilling

To the education voucher
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Information material

The most important info to download

Everything you need to know about our Data Science training in one pdf: Content, pricing, funding, and everything about the application process. ✅


Really good questions, helpful answers

You still have questions about the training, the prices, the financing, etc.? Then take a look here or contact us directly.

Our Data Science and AI course is suitable for numerous groups. Whether you’re reskilling, upskilling or just want to learn something new. Many participants come from business or academic backgrounds, but in the age of Data & AI, just about every industry is looking for people with the skills offered in our course. The most important thing? Motivation.

The price of our Data Science & AI course depends on the financing method you choose. For those investing in their education themselves, the tuition costs €9,500. However, if you’re unemployed, you can get the whole thing fully financed with the Agentur für Arbeit. Apply today and our Admissions team will be happy to guide you.

Here you'll find all relevant information about our financing options: pay immediately and pay yourself, or receive funding via an education voucher from the employment agency.

In our Data Scientist training you will learn everything you need to get started as a Data Scientist. You’ll learn Python, machine learning, neural networks, as well as the most common methods and frameworks from the industry. In addition, we will make you a professional in data visualization and communication with stakeholders - so you’re 100% ready for your new career as a Data Scientist.

In an era where digitization permeates every industry, the ability to harness and interpret data is paramount. As the currency of the future, data unlocks opportunities, empowering professionals to navigate the evolving landscape of customer behavior and strategic decision-making. By investing in a Data Science & AI Bootcamp, individuals not only enhance their skill set but also position themselves as indispensable assets in an increasingly data-driven world. Put simply? Data Scientists are in-demand.

Get trained as a data scientist and kickstart your career with a starting salary of around €55,000 per year. With no upper limits to earning potential, the demand for data scientists exceeds the supply, ensuring ample job opportunities.

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What are you waiting for?

Our Student Admissions team is happy to talk with you, answer your questions, and advise you. Get in touch with us!

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