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Python - Data Analysis Essentials

Course description
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.

This course will introduce the essential Python methods for preparing, cleaning, transforming and aggregating data as well as its visualization. For this purpose, we will start with a short wrap-up of data structures in Python before expanding our skills with the built-in functions for data manipulation and the interaction with files. We move on to the add-on libraries pandas and NumPy which are designed specifically for data analysis. Finally, we will introduce basic information visualization techniques.

Learning objectives
Participants of this course will be able to use Python for basic techniques of data analysis. You will learn the essential Python methods for preparing, cleaning, transforming and aggregating data and how to visualize it for your analysis

Learning activities
  • Writing and running Python using Jupyter Notebooks
  • Data import and processing
  • Creating NumPy arrays
  • Indexing and slicing in NumPy
  • Aggregating data in Pandas
  • Basic information visualization


This course is designed for participants who have already written their own small programs. You should have no trouble writing simple if blocks, loops and functions. Furthermore, you We recommend having attended the courses “APPB - Python Basics” and “APPI – Intermediate Python” before joining this course. For your self-assessment, the enclosed Python source code on this page may help. The code should be understood after 10 minutes at the latest.


APPB - Python BasicsAPPI - Intermediate Python


Students and employees of the University of Zurich.


application/octet-stream 1 KB play_craps.py
Course materials are provided online on the day of the course.


Kurs APPD 2
Freie Plätze:18
Dauer:2 Tag(e) / 12 Stunde(n)
Kursleitende:Kaju Bubanja
Teilnehmerzahl:Min: 7
Max: 24
Ort:Mac Kursraum der Zentralen Informatik, Rämistrasse 74, 8001 Zürich. Tramhaltestelle Kantonsschulstrasse. Ein Stockwerk tiefer als der Eingang zur RWF Bibliothek und der Cafeteria.
RAI-D-021 (on premises)
Samstag, 13. November 202109:00 - 16:00
Samstag, 20. November 202109:00 - 16:00
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