TOP KARRIERE MIT MODERNSTER POSTGRADUALER AUSBILDUNG

Full-stack
Data Scientist
Unsere Data Scientisten sind für die Arbeit am gesamten Lebenszyklus von KI Projekten ausgebildet.

Maßgeschneiderte Wertschöpfung
Unser Programmcurriculum ist so konzipiert, dass unsere Studenten lernen, Probleme aus der realen Welt zu lösen, und lernen, geschäftliche Fragen mit Daten zu beantworten.

Online oder Präsenz verfügbar
Dank der Online-Lehrplattformen für Unternehmen bietet Asigmo Online- und Präsenzschulungen.
TESTIMONIALS

Alexander Zehetmaier, CTO Taxtastic
I think simple online video learning is far away from this hands-on, interactive learning experience as Asigmo Data Science Trainingis offering it. I had already some prior knowledge about the topic but the last week absolutely supercharged my skills! Thanks for everything! Was absolutely worth my money and time!

Liad Magen, Co-Founder MeetPlans
It takes a long time to find out the exactly what one has to learn and in which depth. However, the Asigmo program is designed in such a way so that fellows can grasp the basic blocks quickly, allowing them to immediately implement what they have learned. By the end of the program, the fellows can teach the latest, state-of-the-art papers in the domain to their colleagues. Ultimately, one of the best methods to learn is to teach!

Carina Zehetmaier, Women in AI President Austria
For a long time I have been looking for a hands-on Data Science and Machine Learning course that also sheds light on the importance of Trustworthy and Explainable AI. The courses were brilliant. The instructors were highly qualified practitioners with excellent teaching skills and profound domain expertise. Thank you Asigmo for fulfilling your promise of delivering a high-end and state-of-the art data science training and providing me with a network of peers and experts for future cooperation.

Dr. Rania Wazir, Member of the Board VDSG
I had the pleasure of teaching Trustworthy AI for Asigmo, which was the final week of an intensive 8-week training program that fellows absolved – and I was truly impressed by how much material they had assimilated in such a short time. Above all, I was delighted to find such a diverse group of students – gender, national, academic background – who had managed to bond together, and to work as a team (even those from the R vs Python divide).
Week 1
Business and data understanding
Hive and SQL
Week 2
Data exploration and statistics in R
Week 3
Mathematics and Algebra
Data exploration in Python
Week 4
Modeling and Hyperparameter Optimization
Week 5
Deep Learning
Recurrent Neural Network
Reinforcement Learning
Week 6
Natural Language Processing
Week 7
ML Operationalization
Week 8
AI ethics and final project
Asigmo Data Science Certification