Continuous Random Variables Courses and Certifications

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• On-Demand
• Free Video

Probability Theory: Foundation for Data Science

238 ratings at Coursera

Explore probability foundations, random variables, and the Central Limit Theorem. Gain essential skills for data analysis and statistical inference in this comprehensive introduction to probability theory.

• Coursera
• 1 day 16 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

Probability and Statistics II: Random Variables – Great Expectations to Bell Curves

Explore discrete and continuous random variables, their properties, and applications. Learn about joint variables, independence, and correlation. Practice with R for statistical analysis.

• edX
• 4 weeks, 6-12 hours a week
• On-Demand
• Free Online Course (Audit)

Univariate continuous distribution theory

2 ratings at OpenLearn

This free course looks at a number of the basic properties of statistical models. Section 1 is concerned with the distributions of continuous random variables which are described by their ...

• OpenLearn
• 10 hours
• On-Demand
• Free Certificate

Probability: Distribution Models & Continuous Random Variables

Learn about probability distribution models, including normal distribution, and continuous random variables to prepare for a career in information and data science.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Probability Theory

This course provides an introduction to probability theory. You will encounter discrete and continuous random variables and learn in which situations they appear, what their properties are and how they interact.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

MathTrackX: Probability

Understand probability and how it manifests in the world around us.

• edX
• 4 weeks, 3-6 hours a week
• On-Demand
• Free Online Course (Audit)

STAT 414: Introduction to Probability Theory

Learn probability theory fundamentals, applications, and problem-solving skills. Covers probability assignment, discrete and continuous distributions, joint distributions, and functions of random variables.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

Random Variables & Distributions

Equip yourself with the tools to quantify and understand chance.

• Brilliant
• 20-30 hours
• On-Demand
• Paid Course

Probability Bites

Comprehensive video series covering key engineering probability concepts, from basic axioms to advanced topics like hypothesis testing and random number generation.

• YouTube
• 11 hours
• On-Demand
• Free Video

Edexcel S2

Comprehensive video series covering Edexcel A-Level S2 topics, including probability distributions, random variables, and hypothesis testing for exam preparation.

• YouTube
• 8 hours
• On-Demand
• Free Video

Statistical Methods for Scientists and Engineers

Comprehensive exploration of statistical techniques including parametric and non-parametric methods, multivariate analysis, and probability distributions for scientific and engineering applications.

• YouTube
• 1 day 2 hours
• On-Demand
• Free Video

The Organic Chemistry Tutor

Normal Distribution & Probability Problems

Comprehensive introduction to normal distribution and probability, covering calculation methods, practice problems, and key concepts like the 68-95-99.7 rule for a solid understanding of the topic.

• YouTube
• 30 minutes
• On-Demand
• Free Video

jbstatistics

Continuous Probability Distributions

Explore continuous probability distributions, including uniform, normal, chi-square, t, and F. Learn to calculate probabilities, percentiles, means, and variances using integration techniques.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Professor Knudson

Continuous Random Variables

Explore continuous random variables, probability density functions, and key distributions in probability theory, enhancing your understanding of statistical concepts and applications.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video