This course is delivered through the Jupyter notebook application. It begins with a coverage of fundamental building blocks in Python – numeric data types, strings, lists, dictionaries, sets – replete with examples. Illustrations are then provided on the use of these data types to compose code with selection and iteration constructs. To promote modular and readable code the set-up and use of functions with parameters are also covered.
Participants should attain a good understanding of basic data types in Python and associated methods and constructs that can be applied to them.
- Describe basic data types in Python;
- Apply methods to basic data types;
- Enact selection and iteration over basic data types;
- Construct functions to compose modular code.
E learning – Available
Self learning – Available
Face to face – Not available
No previous experience in coding is required, though a basic digital literacy assumed.
All course materials can be found on the Data Science Campus Github page
To discuss booking this course for remote delivery, please contact the Data Science Campus Faculty.