| Dozent/in |
Dr. Markus Meierer; Dr. oec. Patrick Bachmann |
| Veranstaltungsart |
Vorlesung |
| Code |
HS221233 |
| Semester |
Herbstsemester 2022 |
| Durchführender Fachbereich |
Wirtschaftswissenschaften |
| Studienstufe |
Bachelor
Master |
| Termin/e |
Mo, 29.08.2022, 09:15 - 14:00 Uhr, HS 7
Di, 30.08.2022, 09:15 - 14:00 Uhr, HS 7
Mi, 31.08.2022, 09:15 - 14:00 Uhr, HS 7
Do, 01.09.2022, 09:15 - 14:00 Uhr, HS 7
Fr, 02.09.2022, 09:15 - 14:00 Uhr, HS 7 |
| Umfang |
Blockveranstaltung |
| Turnus |
Block course |
| Inhalt |
People that use data analytics often spend more than 80% of their time with collecting, cleaning, and organizing data and only 20% with applying statistical models. This is not only true for real world analytics, but also for data analyses within bachelor/master theses. This class will prepare you for those challenges by applying a non-technical approach.
This class provides a hands-on introduction to Python for data management. We explain data wrangling techniques that "scale well", i.e. that are applicable to sizeable real-world datasets. Further, we present automatization techniques, which help to save time in programming projects and reduce the number of bugs.
This class is a lecture with integrated exercises. For every session, you are required to bring your laptop (with the latest version of your operating system installed). We do not require any experience with Python as we start from the very beginning (i.e. installing Python). However, we do require the willingness to actively participate and contribute to the class. No statistical models (besides mean and standard deviation) will be discussed in this class. |
| Lernziele |
Be able to manage data in Python:
- loading external data (from text files, Excel files, databases)
- merging, aggregating, and selecting observations
- simplifying complex and repetitive tasks |
| Voraussetzungen |
Bring a laptop (with the latest operating system version installed). |
| Sprache |
Englisch |
| Anmeldung |
To attend the lecture, registration via e-learning platform OLAT is required. Registration is possible from 15 August - 2 September 2022. The students themselves are responsible for checking the creditability of the course to their course of study.
Direct link to OLAT course:
https://lms.uzh.ch/url/RepositoryEntry/17250386180
The UniPortal registration at the beginning of the semester is mandatory for this lecture so that the credits can be credited. It is no longer possible to cancel your registration after 29 August 2022. |
| Prüfung |
Daily examinations during the course of the block course.
***IMPORTANT*** In order to take part in the examination, registration via the Uni Portal within 15.08. - 29.08.2022 is REQUIRED. Further information on registration for the examination: www.unilu.ch/wf/pruefungen |
| Abschlussform / Credits |
multiple-choice exams on programming exercises and theory, online exercises / 3 Credits
|
| Hinweise |
Lecture with integrated exercises (details are announced during the kick-off session on course logistics). |
| Hörer-/innen |
Nein |
| Kontakt |
markus.meierer@business.uzh.ch |