Administrative information


Title Platforms
Duration 2 x 45
Module A
Lesson Type Practical
Focus Practical - AI Modelling
Topic Data analysis

 

Keywords


basic Python,basic Pandas,variables,lists,strings,tuple,data loading from csv,data lookup,

 

Learning Goals


 

Expected Preparation


Learning Events to be Completed Before

None.

Obligatory for Students

None.

Optional for Students

None.

References and background for students:

None.

Recommended for Teachers

None.

Lesson Materials


 


The materials of this learning event are available under CC BY-NC-SA 4.0.

 

Instructions for Teachers


This learning event consist of laboratory tasks that shall be solved by the students with the help of the leading instructor.

You can base this class around the Notebooks.

Outline/time schedule


 
Duration (min) Description Concepts
45 Python variables, lists, strings, tuple
5 pandas data loading from table
10 pandas data / table information: head, shape, info
5 pandas df.loc
5 pandas df.iloc
5 pandas df.str.split
5 pandas date conversion
10 pandas groupby, sort

 

More information

Click here for an overview of all lesson plans of the master human centred AI

Please visit the home page of the consortium HCAIM

Acknowledgements

The Human-Centered AI Masters programme was co-financed by the Connecting Europe Facility of the European Union Under Grant №CEF-TC-2020-1 Digital Skills 2020-EU-IA-0068.

The materials of this learning event are available under CC BY-NC-SA 4.0

 

The HCAIM consortium consists of three excellence centres, three SMEs and four Universities

HCAIM Consortium