Statistics Learning Roadmap
Your journey from Statistics to Machine Learning
Phase 1 — Statistical Foundations Completed
Statistics Basic Concepts
Variables in Statistics
Bar Charts
Pie Charts
Histograms
Box Plots
Mean, Median, Mode
Surveys
Sampling
Describing Distributions
Percentiles, Quantiles, Quartiles
Standard Deviation
Degrees of Freedom
Phase 2 — Statistical Inference Completed
Sample vs Population
Normal Distribution
Sampling Distribution
Central Limit Theorem
Confidence Intervals
Hypothesis Testing
Type I & Type II Errors
p-value & Statistical Significance
Z Test
t Test
Chi-Square Test
Non-Parametric Tests
Phase 3 — Statistical Learning Foundations Completed
Bayesian Statistics
Correlation
Linear Regression
Multiple Linear Regression
Residual Analysis
Regression Model Evaluation
Next Phase — Machine Learning
Introduction to Machine Learning
Supervised Learning
Decision Trees
Random Forest
Naive Bayes
Clustering
Ensemble Models
Neural Networks
Time Series Models
Recommendation Systems
