Data Science Math Skills

Introduction to Galois Theory

Fitting Statistical Models to Data with Python

A Crash Course in Causality: Inferring Causal Effects from Observational Data

Introductory Statistics : Sample Survey and Instruments for Statistical Inference

Linear Algebra, Part 1

Introduction to Linear Models and Matrix Algebra

Introduction to Statistics: Descriptive Statistics

Introductory Statistics : Basic Ideas and Instruments for Statistical Inference

Statistical Predictive Modelling and Applications

Introduction to Probability: Part II – Inference & Processes

Mathematical Modelling Basics

Applications of Linear Algebra Part 1

Introduction to Complex Analysis

Fat Chance: Probability from the Ground Up

Math in Sports

Introduction to Statistics: Inference

Advanced Linear Models for Data Science 1: Least Squares

Introduction to Geometry

MathTrackX: Differential Calculus

Observation Theory: Estimating the Unknown

Introduction to Probability

Engineering Calculus and Differential Equations

Preparing for the AP Calculus AB Exam – Part 1: Derivatives