Python Data Analytics
Python Data Analytics is a course for upper primary and secondary school students (aged 11+) who have experience in Python coding.
Using Python, students will analyze real world data to generate insights. This course is ideal for students who are looking to build a portfolio of coding projects which they can use for various academic interviews.
Course Details
Students will receive a personalized website hosted on our Code Portfolio server to showcase their finished Python Projects. This can be useful in academic interviews to differentiate yourself from your peers.
Projects are customized to student’s interests. You will find a list of sample projects that your child can undertake.
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Historical rainfall and temperature data from the National Environment Agency since 1990.
This project explores the effects of global warming and seasonal changes in rainfall.
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Data is from the Ministry of Education's annual University Graduate Wage Survey since 2013.
Observe trends in fresh graduate starting wages across times in various fields.
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Data is from Singapore’s Manpower Research & Statistics Department.
Explore the relationships between retrenchment numbers and industries during COVID.
Analysis with real data
Working with real and relevant data enhances the learning experience in data analysis.
By connecting actual events, such as the unprecedentedly cold and rainy 2023 Chinese New Year period, with data that confirms it as the coldest February and March Singapore has experienced in recent history, students can develop a deeper interest in Python and gain a more practical understanding of its applications.
