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.stuactivities 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.