Training and Workshops (running)
Digital Skills Training - Upcoming
Improve your digital skills with tailored training in science IT, big data management, data analytics and data science. Training directory in ILIAS with direct links for registration and information: Science IT Support. You may also consult the Transferable Skills training programme (only for PhD students and Post Docs from the University of Bern).
- 2019-08-20 (09:00-17:00) Python for Non-Programmers
- 2019-08-21 (09:00-17:00) CAS Applied Data Science Module 1 (3 full days, only for CAS part.)
- 2019-08-27 (09:00-12:30) CAS Applied Data Science Module 2 (4 half days, only for CAS part.)
- 2019-09-02 (09:00-17:00) Linux for users
- 2019-09-03 (09:00-17:00) Linux for owners
- 2019-09-04 (09:00-12:30) High Performance Computing (HPC) and UBELIX
- 2019-09-05 (09:00-12:30) Data Science with Python and Pandas
- 2019-09-06 (09:00-17:00) Python for Programmers
- 2019-09-09 (09:00-12:30) Tools for Reproducible Science
- 2019-09-10 (09:00-12:30) Working with containers
- 2019-09-10 (13:30-17:00) Advanced HPC Topics
- 2019-09-11 (09:00-17:00) LaTeX - Introduction & further type setting techniques
- 2019-09-12 (09:00-17:00) Introduction to Julia for Programmers
- 2019-09-13 (12:30-17:00) Patents and European Patent Law
- 2020-02-12 (09:00-12:30) Deep Learning - A practical Approach with MATLAB
- 2020-02-14 (09:00-18:30) Machine Learning with Dataiku (with Dataiku certification)
Courses in August and September 2019 will take place at Uni Mittelstrasse, room 124.
With contributions from:
- University of Bern: Center for Space and Habitability, Mathematical Institute, Informatikdienste
- External: S3IT UZH, SWITCH, P. Verges, CC Digital Law
Training sessions are in the format from half day crash courses to weekly block courses and teach practical skills to boost the research or work of the participants.
Both internal and external experts are used as lecturers. All sessions require own laptops and in some cases your own research code and tools. If nothing else is indicated, courses are for free.
Courses are normally given for at least 10 and at most 24 participants on a first come first served principle. We repeat popular trainings on demand and maintain waiting lists.
We can also help organising or developing discipline specific trainings for your group or project.