Teaching
Courses
Each course is organised into labs. Every lab is published as documentation and as a slide deck.
2 labsDocs & Slides
Probability & Applied Statistics
Foundational probability theory, counting principles, discrete distributions, and computational modeling with Python labs and lecture slides.
Curriculum Labs
- Lab 01:Chapter 3: Probability FundamentalsDocSlides
- Lab 02:Addition Rules & Counting PrinciplesDocSlides
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1 labDocs & Slides
Business Intelligence & Data Analysis
End-to-end data transformation, semantic modeling, DAX formulations, and interactive dashboard engineering using Microsoft Power BI.
Curriculum Labs
- Lab 01:Introduction to Business Intelligence & Power BI DesktopDocSlides
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5 labsDocs & Slides
Data Structures & Algorithms
Pointer-driven memory structures, linear lists, stacks, queues and trees implemented in modern C++, with visual lecture decks and live code traces.
Curriculum Labs
- Section 02:Section 2: Singly Linked List Implementation & Pointer OperationsDocSlides
- Section 03:Queues, Circular Queues & the STLSlides
- Section 04:Stack Data Structure: Array & Linked List ImplementationsDocSlides
- + 2 more labs...
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