Lecture Notes
Advanced Statistics & Data Science
Intro to R
Data Cleaning Tidyverse
Survey of Methods
Data Modeling Mind Map
Applied Regression
Financial Regression
Foundational Statistics
Binomial Distribution
Bivariate Data
Univariate Data
Conditional Probability
Density Curves
Modeling Relationships
Permutations & Combinations
Permutations with Reruns
Presentation of Data
Sampling Techniques
Introduction to Sets
Spearman’s Rank Correlation Coefficient
t-test
Test Statistic
Fundamental Calculus
Integration by Parts
Integrals as Net Change
Areas in the Plane
Volumes
Numerical Methods
Exponential Growth and Decay
Arc Length
Tracking Population
Trig Functions
Misc.