Data Science - Einzelansicht

ATTENTION: The schedule in PULS is not correct. Please find the corrected schedule under:
http://www.uni-potsdam.de/social-media-krasnova/teaching/master-courses.html

ACHTUNG: Termine in PULS nicht mehr aktuell. Die aktuellen Termine finden Sie
unter: http://www.uni-potsdam.de/social-media-krasnova/teaching/master-courses.html

Updated Schedule

28.04 (Friday) – 10:15 – 11:45 – Lecture / Introduction
05.05 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
12.05 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
19.05 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
26.05 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
02.06 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
16.06 (Friday) – 10:15 – 13:45 – Lecture / Tutorial
30.06 (Friday) – 10:15 – 13:45 – Group Project Work / Tutorial
07.07 (Friday) – 10:15 – 15:45 – Project Presentations 
14.07 (Friday) – 10:15 – 15:45 – Project Presentations
21.07 (Friday) – 10:15 – 13:45 – Lecture / Tutorial Exam Review
28.07 (Friday) – 10:15 – 11:15 – Exam

Interest in data science. Basic knowledge of statistics. This class is limited to 18 students. The class will be held in English.

Project presentation and written exam

Data is increasingly seen as a driving force behind many industries, ranging from data-driven start-ups to traditional manufacturing companies. Recent years have been marked by the hype around big data technologies and the implications that go along with it. In response to these developments, data science has become one of the most demanded specializations. Against this background, this class will introduce students to the fundamentals of data science, using Python programming language as a basis.