Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel (openHPI)

Data Engineering und Data Science – Klarheit in den Schlagwort-Dschungel (openHPI)

Die Schlagwörter Künstliche Intelligenz, Data Science, Data Engineering, und Big Data dominieren seit einigen Jahren nicht nur die IT-Schlagzeilen. In unserem Kurs wollen wir diese Wörter mit grundlegendem Inhalt füllen und die typischen Arbeitsschritte eines Data Scientists nachvollziehen. Insbesondere schauen wir hinter die Kulissen und betrachten den oft mühsamen Weg der Daten bis sie endlich genutzt werden können um z.B. mittels maschinellem Lernen Modelle trainieren zu können. Dazu gehören die Datenbeschaffung, die Datenreinigung, und die Datenintegration. Anschließend lernen wir, wie man aus diesen Daten und auch aus Texten neue Erkenntnisse mittels Data Mining und maschinellem Lernen gewinnt. Der Abschluss bildet eine Diskussion über Ethik und Fairness bei der automatisierten Datenanalyse.

Zielgruppe
Interessierte Öffentlichkeit, PraktikerInnen und Bachelorstudierende

Kursstruktur

Woche 1: Big Data und Data Science
Woche 2: Data Science Anwendungen und Text Mining
Woche 3: Skalierbares Datenmanagement
Woche 4: Datenaufbereitung
Woche 5: Informationsintegration
Woche 6: Statistik, Data Mining, Machine Learning
Woche 7: Klausur

Go to Class
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