SYNC_STATUS: ACTIVEROOT_ACCESS_GRANTED_
CURRICULUM // CORE.102
FOUNDATION

The Math of Everything

Linear algebra, calculus and statistics — visualised and solved in Python.

Foundation · 12 weeks, slower pace, more examples
10 weeksBeginner–Intermediate15–20 hrs/week

Learning Objectives

WHAT_YOU_LEAVE_WITH
  • Understand linear algebra (vectors, matrices, eigenvectors)
  • Apply calculus to real problems (rates of change, optimization)
  • Statistical reasoning (distributions, correlation, regression)
  • Use Python to visualize & solve math problems
  • Connect abstract math to AI/ML concepts

Prerequisites

BEFORE_YOU_START
  • None required, but algebra helpful.

Recommended Sequence

WHERE_IT_FITS
  • Take in parallel with Code to Create OR after
  • Prerequisite for: AI Made Simple, Data Storytelling

Week-by-Week

5_MODULES
Weeks 1-2Linear Algebra Foundations
4 units →
Weeks 3-4Calculus & Change
4 units →
Weeks 5-7Statistics & Probability
6 units →
Weeks 8-9Applied Math & Mini-Projects
4 units →
Week 10Capstone & Integration
Activities →

Course Totals

ON_COMPLETION
Total XP
~4,500 XP
Badges
6
Projects
6 (visualizations, optimization, regressions, Monte Carlo, capstone)
Time
10 weeks @ 15–20 hrs/week
Effort
150–200 hours
Vector MasterCalculus NinjaStats WhizResearcherMathematicianFinisher