Course catalogue

A team of enthusiastic lecturers from member institutions of the U Bremen Research Alliance voluntarily created the Data Train curriculum. The training is targeted at doctoral researchers and open to everyone interested in strengthening their data skills, if capacities are available.

Our constantly updated and cross-disciplinary curriculum consists of courses tailored towards the participants’ prior knowledge and interests. You may complete each entire track or attend individual courses. We confirm participation in courses after completion of the respective track by a ‘Certificate of Participation’.

Attention: Please note our "Conditions of Participations".

Please note, after registration you will find all information about the course (location, time, materials, etc.) in the internal login area (see login button in the header of the website).

Registration for the waiting list is possible.

Previous Courses

OT-SC-2023-08

Curriculum: Operator Track 'Data Scientist'

Causal learning

Lecturer(s):

Didelez, Prof. Dr. Vanessa

Date:

December 7 - 8, 2023

Format:

in Person

Register until:

December 06, 2023

ST-LE-2024-15

Curriculum: Starter Track

Data Train Kick-off 2024

Lecturer(s):

Glöckner, Prof. Dr. Frank Oliver, Pigeot, Prof. Dr. Iris, Dalby, Dr. Maya

Date:

January 17, 2024

Format:

Hybrid

Register until:

January 14, 2024

ST-LE-2024-02

Curriculum: Starter Track

Philosophical reflections on data science

Lecturer(s):

Sieroka, Prof. Dr. Dr. Norman, Lossau, Dr. Tammo

Date:

January 23, 2024

Format:

Hybrid

Register until:

January 20, 2024

ST-LE-2024-01

Curriculum: Starter Track

Data science and big data

Lecturer(s):

Tings, Dr. Björn

Date:

February 1, 2024

Format:

Hybrid

Register until:

January 29, 2024

ST-LE-2024-07

Curriculum: Starter Track

Statistical thinking

Lecturer(s):

Pigeot, Prof. Dr. Iris

Date:

February 8, 2024

Format:

Hybrid

Register until:

February 05, 2024

ST-LE-2024-08

Curriculum: Starter Track

Asking (the right) research questions in data science

Lecturer(s):

Didelez, Prof. Dr. Vanessa

Date:

February 15, 2024

Format:

Hybrid

Register until:

February 12, 2024

ST-LE-2024-09

Curriculum: Starter Track

About the meaningfulness of data

Lecturer(s):

Waldmann, Prof. Dr. Hans-Christian

Date:

February 22, 2024

Format:

Online

Register until:

February 19, 2024

ST-LE-2024-14

Curriculum: Starter Track

Digital ethics

Lecturer(s):

Haferkamp, M.A. Björn

Date:

February 29, 2024

Format:

Online

Register until:

February 26, 2024

ST-LE-2024-03

Curriculum: Starter Track

Data and information management

Lecturer(s):

Glöckner, Prof. Dr. Frank Oliver, Kostadinov, Dr. Ivaylo

Date:

March 7, 2024

Format:

Online

Register until:

March 04, 2024

ST-LE-2024-04

Curriculum: Starter Track

Data protection and licenses

Lecturer(s):

Kipker, Prof. Dr. Dennis-Kenji

Date:

March 14, 2024

Format:

Online

Register until:

March 11, 2024

Lecturer(s):

Scholz, Karen, Wenzel, Markus

Date:

April 4, 2024

Format:

Hybrid

Register until:

March 31, 2024

ST-LE-2024-06

Curriculum: Starter Track

Managing qualitative data

Lecturer(s):

Hollstein, Prof. Dr. Betina

Date:

April 11, 2024

Format:

Online

Register until:

April 08, 2024

ST-LE-2024-10

Curriculum: Starter Track

Computer sciences basics for data science

Lecturer(s):

Drechsler, Prof. Dr. Rolf

Date:

April 18, 2024

Format:

Hybrid

Register until:

April 15, 2024

ST-LE-2024-11

Curriculum: Starter Track

Overview about programming languages

Lecturer(s):

Lüth, Prof. Dr. Christoph

Date:

April 24, 2024

Format:

Hybrid

Register until:

April 21, 2024

ST-LE-2024-12

Curriculum: Starter Track

Cryptography basics

Lecturer(s):

Hutter, Prof. Dr. Dieter

Date:

May 16, 2024

Format:

Hybrid

Register until:

May 13, 2024

ST-LE-2024-13

Curriculum: Starter Track

Security & privacy

Lecturer(s):

Hutter, Prof. Dr. Dieter

Date:

May 30, 2024

Format:

Hybrid

Register until:

May 27, 2024