Administrative Information
| Title | Understanding Data |
| Duration | 45 |
| Module | A |
| Lesson Type | Tutorial |
| Focus | Technical - Foundations of AI |
| Topic | Data Understanding |
Keywords
Data types,data transformations,pandas,data visualisation,
Learning Goals
- Learner is able to detect missing values and outliers in a given data set, using Python.
- Learner knows how to identify data types of features in a Pandas data frame.
- Learner can create basic visualisations on a given dataset using Python.
- Learner can calculate descriptive statistics with Python.
Expected Preparation
Learning Events to be Completed Before
Obligatory for Students
None.
Optional for Students
None.
References and background for students
None.
Recommended for Teachers
None.
Lesson materials
Instructions for Teachers
You can show the students how you can use python to get to know your data, using the notebook linked below.
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.