Mathematics 1
Mathematics is the language of Data Science. In this course, we will build the mathematical maturity required for advanced topics.
Course Syllabus
Week 1: Introduction & Logic
Introduction to Mathematical Logic, Propositions, and Truth Tables.
Week 2: Sets and Relations
Deep dive into Set Theory, Operations, and Relations.
Week 3: Functions
Understanding Functions, Domain, Codomain, and Types of Functions.
Week 4: Introduction to Calculus
Limits, Continuity, and the Derivative.
All Chapters in this Book
Mathematics 1
Foundation level mathematics covering Sets, Relations, Functions, and Calculus.
Mathematics 2
Advanced mathematics for Data Science covering Linear Algebra, Vector Spaces, and Matrices.
Maths 2 Book: Linear Algebra
A complete textbook course on Linear Algebra for Data Science, covering Vectors, Matrices, and Vector Spaces.
Statistics 2
Advanced statistical methods including Hypothesis Testing, Regression, and ANOVA.
Stats 2 Book: Probability & Statistics
A comprehensive textbook covering probability, distributions, inference, and regression.
Stats 1 Vol 1: Descriptive Statistics
A comprehensive guide to the foundational concepts of statistics, data organisation, and probability-based counting.