Administrative information


Title Exploratory Data Analysis
Duration 60 min
Module A
Lesson Type Tutorial
Focus Technical - Foundations of AI
Topic Exploratory Data Analysis

 

Keywords


Data exploration,Python,Pandas,visualisations.,

 

Learning Goals


 

Expected Preparation


Learning Events to be Completed Before

Obligatory for Students

Optional for Students

None.

References and background for students:

None.

Recommended for Teachers

 

Lesson Materials



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

 

Instructions for Teachers


This is a hands-on session following the lecture Lecture: Exploratory Data Analysis. Students will work on a jupyter notebook. First they can work on pre-defined exercises and then they have to choose a dataset to explore on their own. You can also use choose to instruct the student to do the exercises before this session, so they can focus on the exploration of the dataset in this session.

 

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