Over the next two days, this course aims to provide participants with:
- A fundamental understanding of Python
- Ability to use Python's core functionality for data analysis
- Ability to use Python open-source libraries to analyse and visualise data
Day | Objective |
---|---|
01 | Introduce students to the core features of Python. |
02 | Familiarise students with Python open-source libraries to perform data analysis and visualisation. |
There are 3 types of content in this repository:
evr
: contains activities where everyone will attempt together (instructor and students)ins
: contains activities that only the instructor will attempt for demonstration purposes. Students are welcome to follow along.stu
: contains activities that students will attempt. The solutions will be reviewed at the end of the exercise.
Within each activity folder, there will be sub-folders for:
unsolved
: contains the unsolved starter code. Students should refer to the Python comments for instructions for the activity.solved
: contains the solved solutions.stu
activities will not contain the solved solutions until the end of the day.resources
: contains datasets used for the activity. Note that the datasets are also uploaded to a S3 bucket for easier access via Google Colab.