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Boost your career with our Data Analytics training
In Hamburg or remotely (live online): In the Data Analytics Bootcamp you learn to identify the right business questions and solve them with data. Our coaches teach you how to work with stakeholders to understand the causes of business problems and then turn them into mathematical tasks. Your new skills will help you do this: data visualization with Tableau, data processing through APIs and SQL, and implementing Python Machine Learning to generate missing data. The full "data package" - in just 12 weeks.
Your data analytics course is supervised by 2 coaches, you get 540 hours of effective teaching, practical tasks and 1:1 feedback sessions. Training in Kanban, agile methods, stress reduction and presentation are also part of the course, as well as your grand finale: In the last 4 weeks, you will create your digital capstone project, which you will present to our corporate partners at the final event. Of course, we will prepare you perfectly for your job interviews in Career Coaching.
For whom is the Data Analytics bootcamp suited?
Our Data Analyst* training is suitable for anyone who has a university degree or work experience and loves to solve problems. Previous knowledge of mathematics or physics, as well as business tools such as CRM or ERP software, is helpful. If you know your way around Excel and have some programming experience: great! We encourage DiversITy, regardless of gender or background, and welcome all: Let's code! 🌈
Head Coach Data Analytics
The course content, application process, pricing & funding all in one pdf.
Let's code! Congratulations on your decision to join our Data Analytics training.
As in all boot camps, we start by introducing ourselves and getting to know you and all the other participants - after all, nothing is more important than creating an open and supportive environment.
Then it's down to the nitty-gritty: data analysis. You'll get an all-around view and understanding of the role, tasks and stakeholders of data analysts. We will also give you a
first insight into the tools used - your toolbox that you will also use on the job.
In phase 2 of your data analyst training, you will learn what "descriptive statistics" are all about and why they are so important for data analysts: They are especially useful when dealing with extensive data material in order not to lose the overview (and your nerves).
In addition, we will teach you how to use Google Sheets, show you some tricks to create good presentations and you will learn some helpful problem-solving methods from our coaches.
Time to set up your setup: Together we will prepare your computer to work as a hacker and finally get familiar with the command line. We will install Python in a conda environment. Now you understand the concept of "virtual environments", can create them yourself, and use package and library management tools.
You will become familiar with coding in an IDE (Integrated Development Environment), and understand Python syntax, different data types and structures, variables, loops, conditional statements and functions. And because you are now able to use and write pseudocode, you will also write your first simple program.
Now that you're deep into the topic, you'll learn about the concept of an EDA - exploratory data analysis, which examines data with little knowledge of its relationships. In the process, you'll learn how to collect, expand, and cleanse data using "pandas data frames." While performing such an EDA you already combine several data sets and deal with missing values.
Using your skills in descriptive statistics (phase 2), you extract meaning from data and learn not only what KPIs (Key Performance Indicators) are, but also create them. In addition, our coaches will teach you what makes so-called "plots" useful and how to apply them. You will use Matplotlib and Seaborn and learn how to create diagrams.
Just before the final spurt, you will learn the basics about databases and their structures with the other participants. You will learn how to use DBeaver to connect to the provided PostgreSQL database, how SQL syntax is defined and how to build an SQL query.
With the help of code-along script files and other tasks provided by the coaches, you will learn SQL execution in a practical and effective way. On top, you'll learn about the elements of data infrastructures and how to design a star schema. Sounds complicated to you? Don't worry, we'll take you through it bit by bit!
In Phase 6, you'll work with API keys to connect to APIs. We'll teach you how to automate multiple calls with different parameters. In addition, you'll learn to execute SQL queries from Python and practice reading the documentation to understand limits, request and response formats.
Heard about JSON files? We'll show you how to access them and extract data from them. With all the skills you've learned so far, you'll then run a project to solidify your knowledge. You'll do this with agile tools to organize the project as perfectly as you will later on in your job!
An important task of data analysis: Visualization. Therefore, in the last phase before the final exam, you will learn how to connect to data and perform basic data exploration - while getting familiar with the Tableau environment.
As part of this learning, you'll learn how to filter and group data, calculate fields and use parameters. LODs and table calculations will be part of your repertoire after the boot camp, as well as creating interactive dashboards.
Because we are 100% convinced that the best way to remember what you have learned is through practical application, you will spend the last four weeks of your Data Analytics Bootcamp incorporating all of your knowledge into your digital capstone project.
At the final event, you will present it to our corporate partners and have the chance to draw their attention to you. Once you've made it this far, you can officially call yourself a Data Analyst. Congratulations! 🙌🏼
Our alumni work at
You prefer to learn 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 Data 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 Analytics training in one pdf: The application process, content, pricing and financing. Check. ✅
Want to become a data analyst? A very good idea. Our data analyst course is suitable for different target groups: No matter if you are a career changer, a woman or man after a family break, a career changer with new career aspirations or a temporary soldier after the end of his or her service - basically you only need one thing to become a trained data analyst after only 12 weeks: The motivation to change and to achieve the data analyst certification.
The price of your Data Analyst course depends on the financing method you choose. Our Student & Admissions Team will be happy to advise you and find the right way for you. In general, 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.
Hands-on, our coaches will teach you to work with stakeholders to understand the root causes of business problems and then turn them into mathematical tasks. Your new skills will help you do this: data visualization with Tableau, data processing through APIs and SQL, as well as the implementation of Python Machine Learning to generate missing data. So you'll learn everything a data analyst career changer needs.
Data Analysts are in demand in startups, agencies, large companies and also NGOs, virtually every industry is experiencing a wave of digitization so that different, individual experiences and interests can be covered. Analysts are in demand everywhere - whether in traditional areas such as marketing, product and logistics or in areas such as human resources and design. Companies are looking for candidates who can reformulate business problems into solvable, analytical requirements by creating data-based mathematical models and thus provide a basis for decision-making for companies. Data is the gold of the future - participants in our data analytics training can significantly improve their career opportunities in the job market.
The starting salary after the Data Analyst* training is around 42-51,000€ per year. Depending on professional experience and industry, the salary range may vary. The development and promotion opportunities are very good, the salaries for proven high performers rise faster than within other occupational groups. Sounds good to you? Contact us directly and we can arrange an initial, non-binding meeting.