Python
EDA
SQL
Tableau
AWS
Azure
Statistical Tools (R, SAS, SPSS, etc.)
MLM
Green IT
Are you a scientist, engineer, statistician, economist or similarly qualified? Do you like working with numbers and computers? Then the Data Scientist course is the right choice for you!
You will learn how to work with the Python programming language and use common methods and frameworks. In addition to the necessary tools, we will also show you the best practices for communication and visualisation, which are required in modern, international companies worldwide.
This seminar provides participants with practical training and application-oriented knowledge in the field of data science. In our bootcamp, you will learn to combine statistical knowledge, technical skills, and business understanding to gain valuable insights for companies from complex amounts of data. Our coaches will show how to translate raw data into actionable actions and help companies make strategic decisions. You’ll use advanced analytics tools, machine learning, and AI to identify trends and make predictions. You’ll learn a variety of skills required to meet the professional requirements of a data scientist.
Throughout this course, you will develop a deep understanding of cloud technologies such as AWS and Microsoft Azure, learning to efficiently manage large datasets and machine learning models in cloud environments. In addition, the program will cover advanced analytics methods, allowing you to leverage cutting-edge techniques to address complex business challenges. With a strong focus on both practical skills and theoretical foundations, this bootcamp prepares you for the dynamic demands of the data science profession.
In addition, the ‘AI Specialist Business Analytics with IHK certificate’ is an integral part of the bootcamp. Here you will learn how companies can effectively use business analytics and AI-supported data analyses to make data-driven decisions.
Job seekers, migrants, university dropouts or professionals who are reorienting themselves.
University or technical college degree in the fields of mathematics, statistics, computer science, natural sciences, technology, business administration or economics, or similar professional knowledge. If this is not available, a skilled worker qualification (e.g. IT specialist) and knowledge of a programming language.
With a voucher, the course is 100% free of charge. The costs are covered by the Employment Agency or the Jobcenter.
Lecture, presentation, term paper based on case studies. Discussion and analysis of individual questions of the participants
To participate in the online seminar, participants need a computer or mobile device with a stable internet connection, headphones and microphone or a headset for audio transmission. Alternatively, you can dial in by phone.
The online seminar will be conducted using Microsoft Teams. Further details and access data for the online seminar will be sent to you in a separate e-mail from our event management immediately before the training.
One of the core components of the bootcamp is the practical application of your skills through projects. These hands-on projects simulate real-world challenges faced by Data Scientists. Through continuous project work, you’ll develop a robust portfolio that showcases your ability to handle complex Data Scientist tasks, from data ingestion to machine learning deployment.
At the end of the course, you will work on a capstone project, solving a comprehensive Data Scientist challenge. This final project allows you to demonstrate your mastery of the course material and present your solution to a panel of industry experts and hiring companies, offering you direct exposure to potential employers.
Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. We also offer the following international certificates: Microsoft Power BI, Microsoft Azure, AWS – depending on the field and specialization.
In just 18 weeks you will achieve a significant increase in knowledge in the sought-after area of Business / Artificial Intelligence. This market is growing rapidly and offers you excellent career prospects as there are few skilled workers and educational institutions in this sector.
The bootcamps integrate the topic of Green IT and give you an insight into how big data can contribute to sustainability. Thanks to the international focus of Greenbootcamps, you gain access to an extensive network of potential employers. Our career coaches will support you in your job applications.
With the skills from the boot camp, you can work from anywhere and at any time. In addition, Greenbootcamps supports disadvantaged foreigners and offers scholarships for motivated students from African countries.
Duration: 18 weeks
(Language of instruction English)
Duration: 18 weeks
(Language of instruction English)
Course content
810 LU total, 1 LU = 45 min
How to start coding (45 LUs)
General understanding of technology (9 LUs)
Python programming Basics (54 LUs)
Python programming advanced (72 LUs)
Python Data visualization + Exploratory Data Analysis (27 LUs)
Databases and Data Visualization I: Data warehousing, SQL basics (45 LUs)
Databases and Data Visualization II: Tableau (36 LUs)
Specialization Part 1 Reporting (27 LUs)
PL 300/Microsoft Power BI (45 LUs)
Machine Learning Models (72 LUs)
Specialization Part 2 Reporting (36 LUs)
Overall topics (9 LUs)
IT-Sustainability & Green IT (27 LUs)
Final project (81 LUs)
Certification in Advanced PowerBI with ML application (45 LUs)
Certification in Big Data Framework (45 LUs)
Project Work (135 LUs)
The following additional modules can be booked with an additional education voucher.
These modules can be combined. For example, you can book the Data Science Bootcamp with an education voucher and then directly follow up with the “Agile Project Management with Scrum” module, including PSM I certification, alternatively the “AI Specialist Business Analytics” module with an IHK certification, or proceed directly to the internship module.
Greenbootcamps provides the internship placement.
It is also possible to book the modules sequentially.
The fastest route would be to enter the internship directly after completing the Bootcamp.
with Scrum with Professional Scrum Master I (PSM I) certification
The reflection days include working on technical topics, current questions about the company’s learning phase, topics related to work organization and motivation, as well as the opportunity to arrange individual appointments for individual questions/problems.
Python
EDA
SQL
Tableau
AWS
Azure
Statistical Tools (R, SAS, SPSS, etc.)
MLM
Green IT
A data analyst is an indispensable part of any company. He or she is responsible for collecting, analyzing, and interpreting data to support business decisions. As a Data Analyst, you make a significant contribution to how a company achieves its goals and aligns its strategies.
You will learn how to extract, analyze and visually prepare valuable insights from huge amounts of data. The practical skills and experience you have gained will make you an attractive data professional for potential employers in a high-demand field.
This seminar provides participants with practical training and application-oriented knowledge in the field of data analytics. In our bootcamp, you’ll learn how to collect, analyze, and interpret data to support business decisions. You will develop the ability to extract, analyze, and visually present valuable insights from vast amounts of data. The course emphasizes practical skills in using tools such as Microsoft Power BI and DAX, equipping you to create interactive dashboards and perform advanced data analysis. These practical competencies will make you a highly sought-after data professional in a growing and high-demand field.
In addition, the ‘AI Specialist Business Analytics with IHK certificate’ is an integral part of the bootcamp. Here you will learn how companies can effectively use business analytics and AI-supported data analyses to make data-driven decisions.
Job seekers, migrants, university dropouts or professionals who are reorienting themselves.
University or technical college degree in the fields of mathematics, statistics, computer science, natural sciences, technology, business administration or economics, or similar professional knowledge. If this is not available, a skilled worker qualification (e.g. IT specialist) and knowledge of a programming language.
With a voucher, the course is 100% free of charge. The costs are covered by the Employment Agency or the Jobcenter.
Lecture, presentation, term paper based on case studies. Discussion and analysis of individual questions of the participants.
To participate in the online seminar, participants need a computer or mobile device with a stable internet connection, headphones and microphone or a headset for audio transmission. Alternatively, you can dial in by phone. The online seminar will be conducted using Microsoft Teams. Further details and access data for the online seminar will be sent to you in a separate e-mail from our event management immediately before the training.
One of the core components of the bootcamp is the practical application of your skills through projects. These hands-on projects simulate real-world challenges faced by Data Scientists. Through continuous project work, you’ll develop a robust portfolio that showcases your ability to handle complex Data Scientist tasks, from data ingestion to machine learning deployment.
At the end of the course, you will work on a capstone project, solving a comprehensive Data Scientist challenge. This final project allows you to demonstrate your mastery of the course material and present your solution to a panel of industry experts and hiring companies, offering you direct exposure to potential employers.
Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. We also offer the following international certificates: Microsoft Power BI, Microsoft Azure, AWS – depending on the field and specialization.
In just 18 weeks you will achieve a significant increase in knowledge in the sought-after area of Business / Artificial Intelligence. This market is growing rapidly and offers you excellent career prospects as there are few skilled workers and educational institutions in this sector.
The bootcamps integrate the topic of Green IT and give you an insight into how big data can contribute to sustainability. Thanks to the international focus of Greenbootcamps, you gain access to an extensive network of potential employers. Our career coaches will support you in your job applications.
With the skills from the boot camp, you can work from anywhere and at any time. In addition, Greenbootcamps supports disadvantaged foreigners and offers scholarships for motivated students from African countries.
Duration: 18 weeks
(Language of instruction English)
Duration: 18 weeks
(Language of instruction English)
Course content
810 LU total, 1 LU = 45 min
How to start coding (45 LUs)
General understanding of technology (9 LUs)
Python programming Basics (54 LUs)
Python programming advanced (72 LUs)
Python Data visualization + Exploratory Data Analysis (27 LUs)
Databases and Data Visualization I: Data warehousing, SQL basics (45 LUs)
Databases and Data Visualization II: Tableau (36 LUs)
Specialization Part 1 Reporting (27 LUs)
PL 300/Microsoft Power BI (45 LUs)
Machine Learning Models (72 LUs)
Specialization Part 2 Reporting (36 LUs)
Overall topics (9 LUs)
IT-Sustainability & Green IT (27 LUs)
Final project (81 LUs)
Certification in Advanced PowerBI with ML application (45 LUs)
Certification in Big Data Framework (45 LUs)
Project Work (135 LUs)
The following additional modules can be booked with an additional education voucher.
These modules can be combined. For example, you can book the Data Science Bootcamp with an education voucher and then directly follow up with the “Agile Project Management with Scrum” module, including PSM I certification, alternatively the “AI Specialist Business Analytics” module with an IHK certification, or proceed directly to the internship module.
Greenbootcamps provides the internship placement.
It is also possible to book the modules sequentially.
The fastest route would be to enter the internship directly after completing the Bootcamp.
with Scrum with Professional Scrum Master I (PSM I) certification
The reflection days include working on technical topics, current questions about the company’s learning phase, topics related to work organization and motivation, as well as the opportunity to arrange individual appointments for individual questions/problems.
Python
EDA
SQL
Tableau
AWS
Azure
Statistical Tools (R, SAS, SPSS, etc.)
MLM
Green IT
The task of a Data Engineer is to collect, process and review data as an essential basis for big data, data warehouse and analysis projects. Data Engineers are essential employees in modern, data-driven companies. It is an important area to make the best use of so-called big data.
They play an essential role in the advancement of the corporate objectives and the success of the company. Likewise, a Data Engineer constantly improves the existing databases and the algorithmus used, thus constantly developing the analysis of the data.
Prerequisites for the profession are a technical interest, basic knowledge of programming, insight into data processing, and an understanding of data processes.
With increasing digitalisation, the need for employees familiar with IT, data, data security and the technical processing of data and its constant optimisation is also growing. In this regard, the career opportunities for a Data Engineer are very high.
This seminar provides participants with practical training and application-oriented knowledge in the field of data engineering. In our bootcamp, you’ll learn how to design, develop, and manage scalable data architectures, build efficient data pipelines, and maintain big data infrastructures. Our experts will show you how to work with other IT professionals to ensure that the data infrastructure is aligned with business goals and that the data requirements of analysts and data scientists are met. The course provides a variety of content and competencies required to meet the professional requirements of a data engineer. You’ll master both foundational and advanced data engineering concepts, preparing you to handle complex data challenges in real-world scenarios. Our instructors, who are experienced industry professionals, guide you through every aspect of the Data Engineer role, from creating robust ETL pipelines to implementing cloud-based data architectures. You’ll gain deeper insights and hands-on experience, particularly in advanced cloud technologies, big data systems, and sustainability in IT.
In addition, the ‘AI Specialist Business Analytics with IHK certificate’ is an integral part of the bootcamp. Here you will learn how companies can effectively use business analytics and AI-supported data analyses to make data-driven decisions.
Job seekers, migrants, university dropouts or professionals who are reorienting themselves.
University or technical college degree in the fields of mathematics, statistics, computer science, natural sciences, technology, business administration or economics, or similar professional knowledge. If this is not available, a skilled worker qualification (e.g. IT specialist) and knowledge of a programming language.
With a voucher, the course is 100% free of charge. The costs are covered by the Employment Agency or Jobcenter.
Lecture, presentation, term paper based on case studies. Discussion and analysis of individual questions of the participants
To participate in the online seminar, participants need a computer or mobile device with a stable internet connection, headphones and microphone or a headset for audio transmission. Alternatively, you can dial in by phone. The online seminar will be conducted using Microsoft Teams. Further details and access data for the online seminar will be sent to you in a separate e-mail from our event management immediately before the training.
One of the core components of the bootcamp is the practical application of your skills through projects. These hands-on projects simulate real-world challenges faced by Data Scientists. Through continuous project work, you’ll develop a robust portfolio that showcases your ability to handle complex Data Scientist tasks, from data ingestion to machine learning deployment.
At the end of the course, you will work on a capstone project, solving a comprehensive Data Scientist challenge. This final project allows you to demonstrate your mastery of the course material and present your solution to a panel of industry experts and hiring companies, offering you direct exposure to potential employers.
Upon successful completion, the participant will receive an internationally valid certificate from Greenbootcamps as well as an evaluation of their performance. We also offer the following international certificates: Microsoft Power BI, Microsoft Azure, AWS – depending on the field and specialization.
In just 18 weeks you will achieve a significant increase in knowledge in the sought-after area of Business / Artificial Intelligence. This market is growing rapidly and offers you excellent career prospects as there are few skilled workers and educational institutions in this sector.
The bootcamps integrate the topic of Green IT and give you an insight into how big data can contribute to sustainability. Thanks to the international focus of Greenbootcamps, you gain access to an extensive network of potential employers. Our career coaches will support you in your job applications.
With the skills from the boot camp, you can work from anywhere and at any time. In addition, Greenbootcamps supports disadvantaged foreigners and offers scholarships for motivated students from African countries.
Duration: 18 weeks
(Language of instruction English)
Duration: 18 weeks
(Language of instruction English)
Course content
810 LU total, 1 LU = 45 min
How to start coding (45 LUs)
General understanding of technology (9 LUs)
Python programming Basics (54 LUs)
Python programming advanced (72 LUs)
Python Data visualization + Exploratory Data Analysis (27 LUs)
Databases and Data Visualization I: Data warehousing, SQL basics (45 LUs)
Databases and Data Visualization II: Tableau (36 LUs)
Specialization Part 1 Technical (36 LUs)
AZ 900 / Azure (36 LUs)
Machine Learning Models (72 LUs)
Specialization Part 2 Technical (36 LUs)
Overall topics (9 LUs)
IT-Sustainability & Green IT (27 LUs)
Final project (81 LUs)
Certification in AWS Cloud Practictioner (45 LUs)
Certification as an Associate Cloud Engineer (45 LUs)
Project Work (135 LUs)
The following additional modules can be booked with an additional education voucher.
These modules can be combined. For example, you can book the Data Science Bootcamp with an education voucher and then directly follow up with the “Agile Project Management with Scrum” module, including PSM I certification, alternatively the “AI Specialist Business Analytics” module with an IHK certification, or proceed directly to the internship module.
Greenbootcamps provides the internship placement.
It is also possible to book the modules sequentially.
The fastest route would be to enter the internship directly after completing the Bootcamp.
with Scrum with Professional Scrum Master I (PSM I) certification
The reflection days include working on technical topics, current questions about the company’s learning phase, topics related to work organization and motivation, as well as the opportunity to arrange individual appointments for individual questions/problems.
Certificates:
BI-Specialist (GBC)
Sustainability in Digital and IT (GBC / DiBak)
IHK certificate: KI-Specialist Business Analytics plus (related to focus):
Certifikate:
As the volume of data increases, so does the demand for energy, and companies are already being encouraged – and will soon be required by law – to operate in a resource-efficient way. That’s why we train you to become a sustainability officer parallel to all our courses.
This additional qualification enables you to be a point of contact within the company for all matters relating to environmental protection, energy efficiency and sustainable management, independent of your regular duties.
