Probability Theory

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Mathematical understanding of uncertainty (edX) EdX
Seoul National University,SNUx

Mathematical understanding of uncertainty (edX)

Sci: Mathematics

Dive into the fascinating world of probability theory with our edX course, 'Mathematical Understanding of Uncertainty'. This unique series goes beyond traditional mathematics to teach you how to use probability to navigate and leverage uncertainty in everyday life. Whether you're a student or a professional, this course will equip you with essential skills for understanding and managing risk.

Self Paced
Self-Paced
Math Probability Mathematics
Details
Statistics 1 Part 1: Introductory statistics, probability and estimation (edX) EdX
The London School of Economics and Political Science,LSE

Statistics 1 Part 1: Introductory statistics, probability and estimation (edX)

Sci: Mathematics Statistics & Data Analysis

Dive into the fundamentals of statistics with our comprehensive online course. Gain an understanding of key concepts like probability, estimation, and data interpretation. Perfect for beginners looking to build a quantitative skillset or as a stepping stone towards further academic study.

Self Paced
Self-Paced
Statistics Probability Descriptive Statistics
Details
Statistics 2 Part 1: Probability and Distribution Theory (edX) EdX
The London School of Economics and Political Science,LSE

Statistics 2 Part 1: Probability and Distribution Theory (edX)

Sci: Mathematics Statistics & Data Analysis

Dive into the world of statistics with 'Statistics 2 Part 1: Probability and Distribution Theory' on edX. This course is designed for learners who want to build a strong foundation in probability, random variables, and distribution theory. Whether you're aiming to boost your quantitative skills or preparing for further studies at an undergraduate level, this course provides the essential tools needed to succeed.

Self Paced
Self-Paced
Math Statistics Probability
Details
Statistics Fundamentals Proctored Exam (edX) EdX
The London School of Economics and Political Science,LSE

Statistics Fundamentals Proctored Exam (edX)

Statistics & Data Analysis

Dive into the core principles of statistics with edX's comprehensive Statistics Fundamentals Proctored Exam course. This program is designed to test your understanding and application of statistical concepts, serving as a stepping stone towards further academic pursuits or enhancing your professional skills in data-driven roles.

Self Paced
Self-Paced
Statistics Probability ANOVA
Details
Probability Theory: Foundation for Data Science (Coursera) Coursera
University of Colorado Boulder

Probability Theory: Foundation for Data Science (Coursera)

Statistics & Data Analysis Data Science

Dive into Probability Theory: A comprehensive online course designed to equip you with a solid foundation in probability, crucial for advancing your knowledge in statistics and data science. Learn how to calculate probabilities, understand the difference between independent and dependent events, explore discrete and continuous random variables, and delve into Gaussian (normal) distributions and the Central Limit Theorem.

Jul 6th 2026
5-12 Weeks
Statistics Probability Data Science
Details
Data Science Math Skills (Coursera) Coursera
Duke University

Data Science Math Skills (Coursera)

Sci: Mathematics Data Science

Embark on an educational journey designed to equip you with the fundamental math skills necessary for excelling in data science. This course is perfect for beginners who want to build a strong foundation in basic algebra, probability, statistics, and linear algebra without prior advanced math knowledge. Learn at your own pace and gain the confidence needed to tackle complex statistical analyses.

Dec 2nd 2024
4 Weeks
Math Algebra Probability
Details
Introduction to Scientific Machine Learning (edX) EdX
Purdue University,PurdueX

Introduction to Scientific Machine Learning (edX)

Engineering

Dive into the world of scientific machine learning with this comprehensive online course designed for beginners. Gain a solid foundation in data analytics and explore practical applications in engineering through hands-on examples. From understanding uncertainty with probability theory to mastering complex models like deep neural networks, this course equips you with the skills needed to tackle real-world problems.

Aug 21st 2023
13-24 Weeks
Machine Learning Neural Networks Linear Regression
Details
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