SBWL 1: Data Processing 1 (PI2.0)

Winter Term 2021
Stefan Sobernig, Axel Polleres


Table of contents

Schedule
Organisational
Unit details
Jupyter Notebook
Supplemental Reading

Syllabus

Overall, students shall gain fundamental knowledge for dealing with different data formats and in using methods and tools to integrate data from various sources in this course

Schedule

Unit Date Room Topic
1 Tue 05.10.2021 13:00 – 18:30 "Online" Course introduction
2 Tue 12.10.2021 13:00 – 18:30 "Online" Data access
3 Tue 19.10.2021 13:00 – 18:30 "Online" Data processing (basics)
4 Tue 02.11.2021 13:00 – 18:30 "Online" Data processing (cont'd)
5 Tue 09.11.2021 13:00 – 18:30 "Online" Data storage & persistence
6 Tue 23.11.2021 13:00 – 18:30 "Online" Advanced topics (pandas, visualisation)
7 Tue 07.12.2021 14:00 – 18:00 "D2.0.030" "Feedback / review session"

Organisational

Instructor(s)

dp1-team@wi.wu.ac.at

Grading

See the authorative details at Learn@WU 1211 and Learn@WU 1855.


Course Material

Unit details

Unit 1: Course Overview & Introduction

Slides: This unit is also available as a single HTML Page, e.g. for easier printing

Readings:

Unit 2: Data formats, encoding & access

Slides: This unit is also available as a single HTML Page, e.g. for easier printing

Readings:

Unit 3: Data cleaning and preparation (Basics)

Slides: This unit is also available as a single HTML Page, e.g. for easier printing

Unit 4: Data cleaning and preparation (Cont'd)

Slides: This unit is also available as a single HTML Page

Unit 5: Data storage & Persistence

Slides: This unit is also available in a as a single HTML Page for printing.

Readings:

Unit 6: Advanced topics

Slides: This unit is also available in a PDF format and as a single HTML Page

Readings:

Jupyter Notebook

The theoretical part of the course is accompanied by practical code examples and hands on exercises using the interactive Python environment Jupyter.

Supplemental Reading

Coding