Data Science Bootcamps Germany

Students in this program will learn important concepts and tools for business analytics, machine learning, and data engineering, including (but not limited to) Python, Tableau, and SQL. They'll also explore data collection, inferential statistics, and deep learning.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with DataFrames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the material.

Python is used for a different project each week to teach students data analysis and machine learning. Topics in the course include Pandas, SciKit-Learn, model math, and Deep Learning.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks of part-time study, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those focused on AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal and specialized career path in the industry.

Gain in-demand SQL skills with expert-led training that prepares you for the Oracle Database SQL Certified Associate exam. Learn to write queries, analyze data, and navigate real-world database environments using PostgreSQL and other major platforms.

Learn to transform raw data into compelling, interactive visuals using Python libraries like Matplotlib, Seaborn, Plotly, and Dash. This self-paced course guides you through hands-on projects and real-time mentoring as you build and deploy your own professional dashboard.

Build AI-powered web apps using Python, Flask, and the OpenAI API in this advanced, hands-on course. Learn to create interactive applications that integrate real-time sentiment analysis and dynamic content.

The DSR curriculum covers three dimensions of data science: engineering, analytics, and business. Each of these disciplines includes subtopics ranging from Python and SQL to machine learning, probability, statistics, and technical presentation skills.

This nine-week bootcamp gives participants the skills they need to join data science teams or accelerate their current career growth. Learn how to convert raw data into insightful information. Specific course topics include understanding basic statistical theories, using Python to write code, using Seaborn and matplotlib to visualize data, using SQL to manage databases, publishing findings, data processing, using performance metrics, overfitting, unsupervised learning, managing images and text, understanding neural networks, applying computer vision techniques, machine learning, and a capstone project.