Capstone Project (Sector-Specific Track)
Learners will choose a sector (health, climate, education, business, governance) and design a project using time series, ML, or AI methods.
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Advanced Data Science
AI in Data Science
Explores how artificial intelligence enhances analytics and introduces ethical considerations.
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APIs & Real-Time Data Integration
Introduces learners to APIs for accessing live data streams.
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Data Pipelines & Automation
Teaches learners how to streamline data workflows and automate repetitive processes.
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Machine Learning Fundamentals
An introduction to building predictive models using supervised and unsupervised ML techniques.
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Advanced Statistics & Inference
Covers statistical modelling methods for drawing reliable insights and testing hypotheses.
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Time Series Analysis
Learners will analyze and forecast temporal datasets, exploring real-world applications in economics, health, and climate.
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