Title | Exploratory Data Analysis | ![]() |
Duration | 60 min | |
Module | A | |
Lesson Type | Tutorial | |
Focus | Technical - Foundations of AI | |
Topic | Exploratory Data Analysis |
Data exploration,Python,Pandas,visualisations.,
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The materials of this learning event are available under CC BY-NC-SA 4.0.
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.
Click here for an overview of all lesson plans of the master human centred AI
Please visit the home page of the consortium HCAIM
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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
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The HCAIM consortium consists of three excellence centres, three SMEs and four Universities |