Vor der Buchung beachten:

Bitte beachten Sie vor Ihrer Kursanmeldung unsere Allgemeine Teilnahmebedingungen (pdf, 38 KB) insbesondere aber unser Fairplay: An- und Abmelden (pdf, 299 KB).. Vielen Dank!


Hier finden Sie Antworten zu häufig gestellten Fragen.


Zum Abmelden von Kursen gehen Sie bitte auf Ihre Teilnehmenden-Homepage .



Kontakt:

kurssekretariat@id.uzh.ch


Python - Data Analysis Essentials

In recent years Python has been the fastest growing programming language. As a universal programming language Python is used in a huge variety of application domains. Particularly, in scientific and numeric computing Python is becoming one of the most utilized languages.

In this course you will learn the essential Python methods for preparing, cleaning, transforming and aggregating of your data for analysis. For this purpose, we will start with a wrap-up of data structures in Python before expanding our skills with the built-in functions for data manipulation and the interaction with files. Finally, we move on to the add-on libraries NumPy and pandas which are designed specifically for data analysis.

Topics include
  • Writing and running Python in iPython/Anaconda
  • Using Python lists, tuples and dictionaries and sets
  • Working with files
  • Creating NumPy arrays
  • Indexing and slicing in NumPy
  • Downloading and parsing data files into NumPy and Pandas
  • Aggregating data in Pandas

Voraussetzungen

Attendance of the Python introductory course or equivalent expertise.

Teilnehmende

Students and employees of the University of Zurich.

Kursunterlagen

Course materials are provided online on the day of the course.

Bemerkungen

If you would like to write and run Python in PyCharm, please, book this course with the instructor Kaju Bubanja. In this course we use iPython/Anaconda.

Durchführung

Kurs APPF 1
Freie Plätze:0
Dauer:2 Tag(e) / 14 Stunde(n)
Kursleitende:Giuseppe Accaputo
Teilnehmerzahl:Min: 7
Max: 24
Ort:Windows-Schulungsraum der Zentralen Informatik, Rämistrasse 74, Zentrum (Eingang neben der Bibliothek, Erdgeschoss, Tramhaltestelle «Kantonsschule»)
RAI-E-131
Datum/Zeit:
Samstag, 23. November 201909:00 - 16:00
Samstag, 30. November 201909:00 - 16:00
Veranstaltungs-Infos als ICS Feed