In this course, you will use Python for mathematics and statistics, data science and Machine Learning.

Technical objective: You will use Python for mathematics and data analysis, including learning statistical concepts like mean, mode, and median. You will create histograms and graphs, interpret data from visual representations, and use scatter plots to discover correlations and trends. You will explore algorithms to train Machine Learning models with numerical data and text. These skills are essential for data science, machine learning, and AI in diverse fields.

Life skills objective: You will develop observation skills, learn to draw informed conclusions, and enhance critical thinking and reasoning through real-life examples. Data collection activities will foster diligence and a sound scientific approach. Additionally, you will learn to be resourceful with AI while maintaining responsibility through careful considerations of ethics and the broader societal impact across various domains.

Prerequisite
This course is suitable for Upper Secondary learners with a basic command of English and computer skills.

You will require a computer (Windows or Mac) with a mouse and a pair of headphones.

Prerequisite course(s): App Dev 2: APIs and Database Integration