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Probability Basics

365 Data Science via YouTube

Overview

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Learn the fundamentals of probability in this comprehensive tutorial covering key concepts such as expected values, frequency distribution, combinatorics, set theory, conditional probability, and various probability distributions including discrete uniform, binomial, Bernoulli, Poisson, normal, Student's t, and chi-squared distributions, essential for aspiring data scientists and statisticians.

Syllabus

What is probability | Expected Values, Frequency Distribution, Complement.
Combinatorics: Factorials Explained.
Probability: Intersection and Union of Sets.
Probability and Statistics: Conditional Probability.
Introduction to Probability Distributions.
Probability: Types of Distributions.
Introduction to Discrete Uniform Distribution.
Probability: Binomial Distribution.
Bernoulli Distribution.
Data Science & Statistics Tutorial: The Poisson Distribution.
Understanding the Normal Distribution [Statistics Tutorial].
Standard Normal Distribution.
Introduction to Probability: Student's T Distribution.
Data Science & Statistics: Chi-Squared Distribution.
Introduction to Probability | 365 Data Science Online Course.

Taught by

365 Data Science

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