Python Coding 3 is designed for confident coders aged 11 or over, looking to apply their programming knowledge to data science and machine learning.
Students will be introduced to Interactive Python Notebooks, a tool used by professionals to write and present their code.
We will then look at the “Pandas” library, a useful tool that allows us easily to describe and manipulate large amounts of data. Throughout the course, we will be examining real life data sets, including modelling the recent COVID-19 pandemic!
We will then learn how to visualise our data by plotting graphs and spotting trends in the dataset. We’ll cover more useful libraries to add to our Data Science arsenal.
Finally, we will get a brief introduction to machine learning, the process of letting a computer recognise patterns and make predictions. In our case, this means recognising images that we give to it!
- Learn Python syntax (structure)
- Learn to use Interactive Python Notebooks
- Learn to use the “Pandas” library tool
- Describe and manipulate large real-life datasets
- Visualise your data by plotting graphs
- Spot trends in your dataset
- Explore additional libraries for mathematical modelling
- Get introduced to machine learning to help a computer recognise patterns and make predictions
Python Coding-3, Summer Holiday Mini-Camp (8th Aug – 12th Aug) Timetable:
Monday, 8th Aug 2022 9.00 AM - 12.00 PM
Tuesday, 9th Aug 2022 9.00 AM - 12.00 PM
Wednesday, 10th Aug 2022 9.00 AM - 12.00 PM
Thursday, 11th Aug 2022 9.00 AM - 12.00 PM
Friday, 12th Aug 2022 9.00 AM - 12.00 PM
Challenges may vary depending on the child’s age/ability as we have multiple streams running within each session.
What you would need
A computer with the Zoom web conferencing software installed.
Python (Python 3.9 or above from www.python.org)
VS Code installed with the Python setup: https://code.visualstudio.com/download
Google Chrome web browser
Age Requirement: 11+
A computer (PC or Mac).
Completed Python 1 and Python 2 or a Python holiday camp with Code Kids, or prior significant experience in Python.