Principles of Probability and Random Variables - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: Principles of Probability and Random Variables (/Thread-Principles-of-Probability-and-Random-Variables)

Principles of Probability and Random Variables - OneDDL - 10-22-2025 Free Download Principles of Probability and Random Variables Published 10/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 23h 15m | Size: 7.86 GB A Complete Guide to Probability Theory and Random Variables - From Fundamentals to Advanced Applications What you'll learn Core principles of probability, including events, outcomes, and rules Discrete and continuous random variables, and how to work with them Probability mass functions (PMF), density functions (PDF), and cumulative distribution functions (CDF) Expected value, variance, and functions of random variables The normal distribution and its applications Joint, marginal, and conditional distributions for multiple random variables Covariance, correlation, and independence Conditional expectation and variance Requirements Basic algebra and mathematical reasoning No prior knowledge of probability or statistics required Description Unlock the power of probability and random variables with this comprehensive course designed for students, professionals, and lifelong learners. Whether you're preparing for exams, diving into data science, or strengthening your statistical foundation, this course offers a clear, structured, and intuitive journey through the core concepts of probability theory and random variables.This course breaks down complex topics into digestible lessons, using real-world examples and visual explanations to help you build a deep and lasting understanding.Course StructureThe course is divided into 10 comprehensive chapters:Fundamentals of ProbabilityUnderstand the building blocks of probability including events, outcomes, and rules.Random VariablesLearn what random variables are and how they relate to probability.Discrete Random VariablesDive into PMFs, CDFs, and expected values for discrete variables.Continuous Random VariablesExplore PDFs, CDFs, and expected values for continuous variables.Variance and Functions of Random VariablesAnalyze how functions affect random variables and how to compute variance.The Normal DistributionMaster the standard and general normal distributions.Multiple Random VariablesLearn about joint, marginal, and conditional distributions.Functions of Several Random VariablesUnderstand how to handle and analyze multiple random variables together.Covariance and CorrelationMeasure relationships between variables and understand their dependencies.Conditional Expectation and VarianceExplore advanced concepts in conditional analysis.Course Features39 high-quality video lecturesClear explanations with visual aidsLifetime access and downloadable resourcesCertificate of completionLearn at your own pace Who this course is for University students studying statistics, mathematics, or engineering Data analysts and data scientists seeking a solid foundation in probability Professionals preparing for exams like GRE, GMAT, CFA, or actuarial tests Anyone curious about how randomness and uncertainty are modeled mathematically Homepage [To see links please register or login] Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable