Data Science & DevOps

Course overview

Upon completion of the training, you will have knowledge of data analysis methods and Continuous Integration and Continuous Delivery techniques. You will also be able to implement and operate Data Science models in DevOps environments. Linear and multiple regression with determination coefficients K-Means clustering and transfer learning Data cleaning, data scaling, and synthetic data generation Continuous integration and automated testing Release automation and deployment pipeline

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2026-12-17T23:00:00.000Z · München · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-17T23:00:00.000Z · Köln · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-20T23:00:00.000Z · Leipzig · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-17T23:00:00.000Z · Stuttgart · Combined Learning
• 2026-10-18T22:00:00.000Z · 2026-12-17T23:00:00.000Z · Erfurt · Combined Learning