Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Practice
Publications
Startups
Units
Show all results for
Home
Lecture
Statistics for Data Science: Basics and Modelling
Graph Chatbot
Related lectures (31)
Previous
Page 2 of 4
Next
Continuous Random Variables: Basic Ideas
Explores continuous random variables and their properties, including support and cumulative distribution functions.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including conditional probability, Bayes' rule, and random variables.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including corollaries, conditional probability, total probability theorem, and random variables.
Probability and Statistics: Fundamental Theorems
Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.
Probability and Statistics
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
Continuous Random Variables
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Probability and Statistics: Fundamentals
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Probability and Statistics
Covers probability distributions, moments, and continuous random variables.
Elements of Statistics
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.