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Data Science / AI Fundamentals

An introductory course for students exploring data science and AI — covering Python for data work, core statistics, machine learning fundamentals, and the essential libraries used in real data science workflows.

PythonNumPyPandasscikit-learn

Course Modules

01 · Python for Data Science3 topics
Python fundamentals for data workWorking with files & data formatsScripting for automation
02 · Statistics Basics4 topics
Descriptive statisticsProbability fundamentalsDistributionsHypothesis testing basics
03 · ML Fundamentals & Libraries4 topics
Supervised vs. unsupervised learningModel evaluation basicsNumPy & Pandas workflowsscikit-learn pipelines
04 · Intro to AI Concepts3 topics
What machine learning and AI actually areCommon AI application areasResponsible AI basics