Data Scientist Weiterbildung

Your digital future starts here

Data Scientist Kursinhalte

Keyfacts

  • Full-time: 12 weeks (Mon - Fri 9 am - 6 pm)
  • 540 teaching units (1 UE = 45 min)
  • Free Laptop at the start of the course (you can keep it)
  • 100% Eligible

Techstack

Pythonsoft skillssustainability ITdatabasesmodels

Who can apply for our data science bootcamp?

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.

Why choose Greenbootcamps?

Intensive qualifications and excellent job opportunities

In just 12 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.

Focus on sustainability and career coaching + global network

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.

Flexible working conditions and social commitment

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.

Dein Zertifikat

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.

Logo AWS Zertifizierung Cloud Practitioner

Your tasks in the company upon successful completion

Grüne 1
Investigate and analyse company data to determine which data to extract and process.
Grüne 2
Constructive collaboration in teams with Data Engineers and Data Analysts.
Grüne 3
Develop predictive models to anticipate data developments and trends related to the company's business activities.
Grüne 4
Modelling data analysis results to make them understandable, usable and actionable.
Grüne 5
Query and analyse relevant data related to the production process, sales or customer records.

Starttermine

Feb.
February 9th 2026

12 weeks

(teaching language: English)

Mar.
March 23rd 2026

12 weeks

(teaching language: English)

Why are data scientists in high demand?

Since the work is predominantly digital, you can work location-independently, decentralized from anywhere! Increasing amounts of data are being collected and processed every day.

This also changes the requirements for the qualifications of employees in a company who can handle, analyze, interpret, and draw conclusions from this exponential growth of data.

One example that everyone knows is Google Maps. Data from millions of smartphone users is collected, consolidated, and sent to data centers. Within seconds, this data is evaluated, processed, and sent back to the smartphone owners to present the fastest route.

Working Environment

Many employers are incredibly flexible in terms of location and working hours and even advertise that you can work from anywhere in the world. Visualize working on your new project from a beach lodge in Bali – team meetings and contact with the client are digital. During nighttime in Germany, your day begins, and you have 8 hours to prepare the next presentation!

Just a dream? Your future starts here if you choose the bootcamp Data Scientist.

Mit einem Bildungsgutschein der Agentur für Arbeit kannst du an unseren Bootcamps kostenlos teilnehmen.

Jetzt informieren

Werde DATA SCIENTIST: Curriculum

Dauer:

12 weeks

Unterrichtszeiten:

Monday – Friday | 9 am to 6 am (GMT)

9 days
  • Introduction  
  • Unix  
  • Git, Github 
  • Introduction in Data Analytics, Data Science, Data Engineering 
54 days
  • Introduction to Git
  • Introduction to the Jupiter Laboratory 
  • Coding Best Practices  
  • Basics:  
    • Numeric Variable Types Strings 
    • If-instruction (if, elif, else) 
    • Loops (while, for) 
  • Data Structures in Python  
    • Lists 
    • Sets 
    • Mutability 
    • Dictionaries 
    • Understanding 
72 days
  • Functions  
    • Introduction to Features  
    • Function definitions 
    • Invoking functions 
    • Lambda function 
    • Functional challenges 
  • Introduction to Pandas 
    • Pandas functionalities 
    • Pandas visualization 
    • Tutorial on functionalities and visualizations 
    • More exercises with datasets 
    • Data frames and combining data frames 
  • Introduction to Numpy  
    • Numpy functionalities 
    • Tutorial on the functionalities of Numpy 
    • Handling of data and temporal data 
27 days
  • Data Visualisation using Python 
  • Introduction to Plotly
  • Exploratory Data Analysis
  • EDA take me home challenge
45 days
  • Introduction to data warehousing, SQL basics 
  • Aggregation and joins in SQL 
  • SQL advanced: Handling text with SQL, advanced filtering
  • SQL advanced
36 days
  • Introduction to Tableau
  • Basic functionality for Tableau
  • EDA more challenge
27 days
  • Overview  Tools (R, SAS, SPSS, Stata, knime,…)
  • Probability concepts
  • Statistical tests
45 days
  • AWS Cloud Practitioner 
  • Certificate examinatio
72 days
  • EDA and modelling 
  • Concepts of different regression and classification models 
  • Evaluation matrices for regression and classification models 
  • Time series model 
  • Natural Language Processing (NLP) 
  • Implement the above ML models vs. using Python packages 
36 days
  • Clustering Algorithms (e.g. K-Means)
  • Dimensionality Reduction Techniques (e.g., PCA)
  • Time Series Analysis/NLP
  • Optimization / Simulation/Generative AI
  • Deepdive: Advanced Deeplearning (ANN | CNN)
9 days
  • Data security 
  • Introduction to agile project management, JIRA und confluence  
  • How to use ChatGPT and AI 
27 days
  • ustainable IT operations: Determining and optimizing the IT CO2 footprint 
  • Greening of IT – Design options for an efficient and sustainable IT landscape 
  • Which product life cycle can we still afford? IT sustainability strategies for the future 
  • AI & data-driven sustainability 
81 days

Unsere green Note

Mit der zunehmenden Datenmenge steigt auch der Energiebedarf, was sich langfristig schädlich auf unsere Umwelt auswirkt. Unternehmen werden schon heute – und bald auch gesetzlich – zum ressourceneffizienten Handeln angehalten. Deshalb sind die Themen Nachhaltigkeit und Big Data, wie auch Green IT zusätzlicher Bestandteil unserer Bootcamps .

Diese Zusatzqualifikation befähigt dich, unabhängig von deinen regulären Aufgaben, Ansprechpartner:in im Unternehmen für alle Fragen rund um nachhaltiges Wirtschaften in der IT zu sein.

Windrad in den Bergen

Data Scientist: weitere Informationen

In this course, participants receive practical training and user-related skills in the subject area of the Data Scientist. The Data Scientist uses statistical methods and machine learning to make predictions and answer important business questions. The course presents a variety of content and competencies needed to meet the professional requirements of a Data Scientist.

This course is aimed in particular at qualified professionals who do not have any experience with programming or the Python programming language.

The following modules form the basis of the knowledge transfer:

  • Exercises accompanying the lessons (independent)
  • Team-oriented group work
  • Practical examples and hands-on exercises
  • Learning success checks

Hybrid training (On-site classroom training or virtual face-to-face teaching via Teams or similar VC (Virtual Classroom).

The training is accompanied by job application support measures. Greenbootcamps has a network of companies that are looking for employees with the Data Scientist qualification. These cooperation partners are involved in the application process from the beginning and accompany the participants during the bootcamps. Upon successful completion, they are guaranteed a permanent position.

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.

You should possess basic IT skills – such as the use of Office products and the internet. Furthermore, participants should be proficient in the language used in the course (English).

Participants work with digital learning materials that they can download via the learning management system. The learning management system is online and is available to all participants during the training.

We will provide you with a Laptop. After the bootcamp have been fully paid, you can keep the Laptop. 

MS Office, Internet access, advanced open-source applications (such as MS Power BI Desktop, Hadoop, Anaconda), learning management system, online communication system.

Start your bootcamp. Request offer now.