Mathematics & Statistics @ Cheenta School of Statistics and Data Science (2024-2025)

Online Course Series, Cheenta School of Statistics and Data Science, 2024

This course will prepare you for the most basic prerequisites required to get yourself started with AI-ML.

Class 1: AM/GM/HM/AGP

Class 2: Polynomials and Binomial Theorem

Class 3: More on Equations

Class 4: Divisibility and Modular Arithmetic

Class 5: Domain & Range of Functions

Class 6: Curve Sketching

Class 7: Pigeon Hole Principle and Parity

Class 8: Invariance and PMI

Class 9: Programming & Recursion-I

Class 10: Programming & Recursion-II

Class 11: Inequalities-Practice

Class 12: Differentiation

Class 13: Graphing Using Calculus

Class 14: Indefinite Integrals

Class 15: Linear Algebra - 1

Class 16: Linear Algebra - 2

Class 17: Problem Solving in Counting

Class 18: Problem Solving in Counting and P&C

Class 19: Principle of Exclusion and Inclusion (and its variants)

Class 20: Introduction to Probability - 1

Class 21: Introduction to Probability - 2

Bluesky Facebook LinkedIn X (formerly Twitter)