Our Portfolio of Training and Seminars
Data Awareness
A seminar that covers the basics of data analytics to gain an understanding of data-driven work and decision-making and to synchronise team work.
Data Analyst in Python
A practical, hands-on training that will teach you how to analyse and visualise data, and perform basic statistical operations on data with Python.
Data Scientist with Python
Covers machine learning, advanced statistics and processing Big Data with Apache Spark and Hadoop.
Course Features
Interactive Data Lab
Learning by doing is the most effective way of learning complex topics. Our online platform is an interactive data lab that allows participants to learn Python and R techniques by trying code and directly seeing the results.
Industry Specific Datasets
We tailor our example datasets to suit your industry and its needs, meaning that participants work with examples relevant to their work. Optionally, we can integrate company-specific data sets into the course.
Course Management
Our courses run on timelines that you define. This means participants in your workforce can take part in courses together, creating a positive learning experience.
Always up to Date
Programming languages and libraries are constantly changing, our Data Lab will always offer the most up to date stable versions of Python, R, and common libraries.
Cloud-based
The data lab is a cloud-based infrastructure, avoiding the need for setup, maintenance, or extra costs.
Multilingual Platform
We provide training in German and English and allow participants to set their preference, suiting international workplaces.
Benefits of Digital Learning
Why online education is taking you beyond
With online learning, you can acquire the skills you need at a pace and time that suits you. Content is always up-to-date and you can instantly test your knowledge with interactive quizzes or code playgrounds. Thanks to this convenience and instant feedback, online learning has higher retention rates, greater student satisfaction, and lower costs.
Industry and academia teachers
Self-paced learning
Industry-specific projects
Access to support & peers