Data Science Survival Skills (DSSS)5 ECTS
(englische Bezeichnung: Data Science Survival Skills)
(Prüfungsordnungsmodul: Data Science Survival Skills)

Lehrveranstaltungen:

• • Data Science Survival Skills
    (Vorlesung mit Übung, 4 SWS, Andreas Kist et al., Mo, 10:15 - 11:45, 04.023; Fr, 12:15 - 13:45, 04.023)

Empfohlene Voraussetzungen:

It is recommended to have prior knowledge of the programming language Python (e.g. through GSProg or SciProgPy) and first exposure to data.

Inhalt:

Data Scientists need a comprehensive toolbox for their work. This consists for example of data acquisition, data cleaning, data processing and data visualization. In this course, we highlight good practices and approaches, and provide intensive hands-on experience.
In particular, this course covers: • Data handling and storage • Lossy and lossless data compression • Data acquisition and API usage • Data visualization in scientific figures and movies • Data analysis platforms • Multithreading and multiprocessing • Code vectorization and just-in-time compilation • Code profiling • Prototyping Graphical User Interfaces • Workflow optimization techniques

Lernziele und Kompetenzen:

Students • will be able to create own code for working with data • can carry out research projects in data science • can apply code optimization strategies • can design own graphical user interfaces for convenient interaction with data • can produce high-quality data visualization as needed for scientific publications

Literatur:

• Edward Tufte: The Visual Display of Quantitative Information • Cole Nussbaum Knaflic: Storytelling with data • Wes McKinney: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython • Gabriele Lanaro: Python High Performance • Micha Gorelick, Ian Ozsvald: High Performance Python • Alan D Moore: Mastering GUI Programming with Python

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Data Science (Master of Science)
   (Po-Vers. 2021w | Gesamtkonto | Technische Schlüsselqualifikationen | Data Science Survival Skills)

Studien-/Prüfungsleistungen:

Data Science Survival Skills (Prüfungsnummer: 76771)

(englischer Titel: Oral exam)

Prüfungsleistung, Klausur, Dauer (in Minuten): 60, benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

Prüfungssprache: Deutsch oder Englisch

Erstablegung: WS 2022/2023, 1. Wdh.: SS 2023

1. Prüfer:

Andreas Kist,

2. Prüfer:

Andreas Kist

Termin: 22.09.2022, 09:00 Uhr, Ort: Werner-von-Siemens-Str. 61, AIBE Seminar room