Introduction to Calculus
An intuitive introduction to calculus, focusing on the core concepts of derivatives and the fundamental theorem of calculus.
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Past Videos and Topics
Browse our curated collection of educational videos on various math and data science topics. Click a title to view the video, transcript, and related resources.
Video List
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Linear Algebra for Data Science
This video introduces essential concepts of linear algebra for data science applications.
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Understanding Probability
Basic introduction to probability concepts including probability of events and basic probability rules.
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Descriptive Statistics Fundamentals
Learn about mean, median, mode, variance, and standard deviation with real-world examples.
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Hypothesis Testing Made Simple
Master the fundamentals of hypothesis testing, p-values, and statistical significance.
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Confidence Intervals Explained
Understand how to calculate and interpret confidence intervals for population parameters.
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Regression Analysis Basics
Introduction to linear regression, correlation coefficients, and model interpretation.
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Bayesian Statistics Introduction
Explore Bayesian thinking, prior and posterior distributions, and Bayesian inference.
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Multivariable Calculus
Dive into partial derivatives, multiple integrals, and vector calculus concepts.
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Gradient Descent
Learn about gradient descent, Lagrange multipliers, and optimization algorithms.
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Matrix Operations and Transformations
Introduction to matrix operations and transformations.
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Eigenvalues and Eigenvectors
Understand eigenvalues, eigenvectors, and their applications in data science.
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Combinatorics and Counting
Learn about permutations, combinations, and the fundamental counting principle.
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Random Variables and Distributions
Explore discrete and continuous random variables, and common probability distributions.
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Set Theory Fundamentals
Introduction to sets, set operations, and Venn diagrams for data science applications.
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Logic and Proof Techniques
Master logical operators, truth tables, and mathematical proof strategies.
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Numerical Integration Methods - Trapezoidal Rule
Learn about the trapezoidal rule, a numerical integration method.
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Numerical Integration Methods - Simpson's Rule
Learn about the Simpson's rule, a numerical integration method.
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Root Finding Algorithms
Explore Newton's method, bisection method, and other root-finding techniques.
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Trigonometry for Data Science
Essential trigonometric functions and their applications in data visualization and analysis.
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Vector Geometry - Dot Product
Understanding vectors and dot products.
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Vector Geometry - Cross Product
Understanding vectors and cross products
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Time Series Analysis Basics
Introduction to time series data, trends, seasonality, and forecasting methods.
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Mathematics Behind Machine Learning
Deep dive into the mathematical foundations of machine learning algorithms.