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Online-Session: Data Analysis with Python

After Work Online Session - in English


Kursnummer:
 TS571.001H-W
Volkshochschule:

 Tempelhof-Schöneberg
Auskünfte zur Anmeldung:

 Tel.: (030) 902 77-30 00, Fax.: (030) 902 77 -89 44, E-Mail: vhs@ba-ts.berlin.de, https://www.berlin.de/vhs-tempelhof-schoeneberg/

Fachliche Beratung:

 Frau Ulrike Henriette Jeggle, E-Mail: vhs-beruf-digital@ba-ts.berlin.de

Beschreibung:

 Der Kurs wird in Englisch durchgeführt.

Data analysis provides insights that enable informed decision-making. In today's complex business environment, decisions need to be based on facts and trends rather than only domain knowledge.

It has wide applications in the field of Marketing, Business Intelligence, Risk Management. Tech companies heavily rely on data analysis for user behavior analysis, personalized recommendations, and improving algorithms.

Module 1: Introduction to Data Analysis with Python.
Module 2: Exploratory Data Analysis (EDA) and Visualization with Dashboard.
Module 3: E-Commerce Data Analysis.
The instructor will guide step by step into the topics.

Basic understanding of Python or any coding language is important.
Familiarity with Github is a plus.

Requirement: You need Python installed (Version 3.x).

Infos zum Kursleiter
Zusatzinformation:

 The course takes place online on the learning platform vhs.cloud. To participate you need a course code, which you will receive with the registration confirmation.

We recommend participating from a computer with a headset and camera. Current browser versions of Microsoft Edge and Google Chrome are required to actively use the conference tool.
Bitte beachten Sie:

Kursleiter/-in:

 Biswas, Shekhar
Unterrichtseinheiten (45 Min.):

 16 UE
Entgelt:

 63.32 EUR
Ermäßigt:

33.16 EUR
Veranstaltungsort/Termin(e):
Schöneberg, Online, ,, vhs cloud
Mo, 22.09.2025, 17:30 - 19:00
Mi, 24.09.2025, 17:30 - 19:00
Mo, 29.09.2025, 17:30 - 19:00
Mi, 01.10.2025, 17:30 - 19:00
Mo, 06.10.2025, 17:30 - 19:00
Mi, 08.10.2025, 17:30 - 19:00
Mo, 13.10.2025, 17:30 - 19:00
Mi, 15.10.2025, 17:30 - 19:00
 
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