Data Analyst Bootcamp

Start the path to your successful career today!

9 out of 10

participants find employment within six months of completing their training.

Data Analyst Course content

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

What does a data analyst do?

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.

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.

Your certificate

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 Power BI Data Analyst

Your tasks in the company upon successful completion

Grüne 1
Data Analysts deal with data volume and identify trends, e.g. by analysing data from websites and social networks.
Grüne 2
The specialisation forms the basis for developing predictions and transforming data into information.
Grüne 3
A Data Analyst analyses and evaluates existing data sets in order to generate new knowledge that is important for the company.

Starting Dates

Dec.
December 22nd 2025

(Language of instruction: English)

Feb.
February 9th 2026

(Language of instruction: English)

Why further training to become a data analyst?

The training to become a data analyst prepares you for the exciting world of data analysis. Digitization and data processing are at the heart of today’s economy. The need for qualified data analysts is growing rapidly, and the job market is struggling to keep up with demand. According to a study by Bitkom, the number of vacancies for IT specialists rose to 96,000 in 2021, an increase of 12 percent compared to the previous year. Companies in all industries are constantly on the lookout for competent professionals who can read, analyze and interpret this data. This is where the Data Analyst comes in.

By the way, with an education voucher from the employment agency you can take part in all of our boot camps for free.

Become a Data Analyst: Curriculum

Duration:

12 weeks

Lesson times:

Monday – Friday | 9 am to 6 am (GMT)

  • Introduction  
  • Unix  
  • Git, Github 
  • Introduction in Data Analytics, Data Science, Data Engineering 
  • 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 
  • 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 
  • Data Visualisation using Python 
  • Introduction to Plotly
  • Exploratory Data Analysis
  • EDA take me home challenge
  • Introduction to data warehousing, SQL basics 
  • Aggregation and joins in SQL 
  • SQL advanced: Handling text with SQL, advanced filtering
  • SQL advanced
  • Introduction to Tableau
  • Basic functionality for Tableau
  • EDA more challenge
  • Advanced Tableau 
  • SAS, SPSS
  • Course: PL 300 / PowerBI Data Analyst 
  • Certificate examination 
  • 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 
  • PowerBI + DAX 
  • APIs (streamlit, Flask, Fast APIs) 
  • Data security 
  • Introduction to agile project management, JIRA und confluence  
  • How to use ChatGPT and AI 
  • Sustainable 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 

Our Green Note

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.

Windrad in den Bergen

Data Analyst more Information

In this course, participants receive practical training and user-related skills in the field of the Data Analyst. The Data Analyst uses data to answer questions and communicate findings that clients need to make decisions. The course presents a variety of content and competencies needed to meet the professional requirements of a Data Analyst.

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).

Die Teilnehmenden arbeiten mit digitalen Lernmaterialien, die sie über das Lernmanagementsystem herunterladen können. Das Lernmanagementsystem ist online und steht allen Teilnehmenden während der Schulung zur Verfügung.

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.