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Become a Data Scientist and take your career to the next level
Your logical next step: our Data Science training in Hamburg, Cologne, Frankfurt, Munich or remotely (live online). Learn everything you need to get started as a data scientist in modern companies or research: For example, working with Python, machine learning, neural networks, as well as the most common methods and frameworks from the industry. In addition, we make you a professional in data visualization and communication with stakeholders - so that you are 100% ready for your tech job.
In our Data Science Bootcamp, you will be mentored by 2 top coaches, receive 540 hours of effective instruction, real-world assignments and 1:1 feedback sessions. With training in Scrum, agile methods, stress reduction and presentation, we prepare you for the job in a practical way. This also includes your digital capstone project, which you will work on in the team during the last 4 weeks in order to bring yourself into play with our corporate partners. Through interview training and career coaching, you will be able to handle the upcoming job applications with ease.
For whom is our Data Science training suitable?
A Data Scientist lateral entry is absolutely possible if you are already a scientist, economist or engineer. This also applies to temporary soldiers and female soldiers after the end of their service. If you want to become a Data Scientist, you should have one thing in particular: Motivation. We promote DiversITy, regardless of gender and origin, and welcome everyone: Let's code! 🌈
Head Coach Data Science
Head Coach Data Science
The course content, application process, pricing & funding all in one pdf.
Apply now for one of 15 places in our Data Scientist*innen training. Safety first: Currently, all Data Science Bootcamps take place remotely (live online). No suitable start date? Contact us here.
Welcome to the Data Science 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".
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.
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*.
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.
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.
In the course of this, typical application areas, such as natural language processing and related techniques, such as transfer learning, will also be covered. Then it's time for the final phase of your training to become a Data Scientist.
In order to apply what you have 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. The festive graduation event, provides the perfect setting to present yourself and your work and to get yourself in play with our corporate partners. You have made it. Congrats! 🙌🏼
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You prefer to learn coding in face-to-face classes? Then choose one of our four locations throughout Germany: Hamburg, Cologne, Frankfurt or Munich. Find out more here!
Location-independent and flexible: Our Remote Coding Bootcamps (live online) offer you everything you get at our locations - except the coffee. Check out all the benefits of our digital campus now.
Education must be affordable. Because we believe in you, your chances and our bootcamps, we also take risks for you: For example, don't pay until you find a job. Check out all the funding options now or get advice directly.
Everything you need to know about our Data Science training in one pdf: Content, pricing, funding, and everything about the application process. ✅
You still have questions about the Data Scientist certification, the prices, the financing or similar? Then take a look here or contact us.
The training within the framework of an IT boot camp is suitable for numerous target groups. Whether you are a dropout, a woman after a family break, a career changer with a new career aspiration, or a regular soldier after the end of his or her service - basically you only need one thing to complete your Data Science training: Motivation!
The price of your Data Science education depends on the financing method you choose. Our Student & Admissions Team will be happy to advise you and find the right way for you. Basically, our courses can cost 0€ with an appropriate scholarship and 8500€ to 9500€ for self-payers, depending on the course.
Here you will find all relevant information about our financing options: Pay later via Chancen EG, 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 in modern companies or research: For example, working with 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 that you are 100% ready for your tech job.
A Data Science course can boost your career enormously! According to Harvard University, the profession of data scientist is one of the most attractive and promising professions of the 21st century. In fact, data scientists are working on the pulse of the digital transformation, because they are already busy with important topics of the future. Sooner or later, digitization will overtake virtually every industry. Interest in data is extremely high, because increasing digitization opens up numerous opportunities for companies to expand their scope of action - especially with regard to customer behavior. And this can be observed, evaluated and influenced on the basis of collected data. This means that data is the gold of the future, and employees who opt for a Data Scientist certification course can significantly improve their career prospects in this future market.
The starting salary as a data scientist after your data scientist training is around €55,000 per year. Depending on the company and professional experience, the salary range may vary. There are almost no upper limits. Not only is the Data Scientist salary comparatively attractive and above the entry-level of other professions, but the chances of job offers are also very good since specialists in this field are in short supply and are increasingly in demand. Too good to be true? You can do it, we'll show you how!