What is probability theory?

Probability theory is a division of the mathematics field that's focused on analyzing random or uncertain distributions and phenomena. It doesn't predict a specific outcome from the data that's offered, but it tells analysts several different potential outcomes. It does this by applying mathematical equations to predict the things that may happen as a result of the information. Probability theory offers a scientific process that can be used to make an educated guess as to the most likely outcome, or event.

Why is it important to learn about probability theory?

It's important to learn about probability theory because it can help improve your critical thinking skills. It can also help you make better decisions and help you with taking control of potential outcomes and risks. This can be beneficial in both your professional career and in your everyday life. If you're interested in a career in science, probability theory is a vital part of scientific reasoning that you'll use frequently in your career. It's also an interesting topic to learn about and to discuss with peers.

How can taking online courses on Coursera help me learn probability theory?

Taking online courses on Coursera can help you learn probability theory by presenting each step of the learning process in a logical order that you can pass through from beginner-level courses through intermediate and advanced courses. If you already have an understanding of data science and advanced math skills, you move right to the courses you need to upgrade or refresh your skills. You also can take the courses at your own pace, so you're never rushed, and you can make sure you have a solid understanding of each concept before progressing to the next.

How do I know if learning probability theory is right for me?

If you're a highly analytical person who enjoys mathematics, probability theory may be right for you. It's also right for you if your goal is to work in the field of data science, statistical analysis, or data manipulation. Additionally, it's a useful study area if you want to work in finance or at a high-level accounting job.

What are the benefits of taking an online Probability Theory course?

Online Probability Theory courses offer a convenient and flexible way to enhance your knowledge or learn new Probability Theory skills. Choose from a wide range of Probability Theory courses offered by top universities and industry leaders tailored to various skill levels.

What Probability Theory courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Probability Theory, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Probability Theory Courses - Learn Probability Theory Online

Explore the Probability Theory Course Catalog

University of Colorado Boulder
Statistical Inference for Estimation in Data Science
Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution
4.1
Rating, 4.1 out of 5 stars
86 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Columbia University
Causal Inference
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Statistical Analysis, Estimation, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design
3.4
Rating, 3.4 out of 5 stars
98 reviews
Advanced · Course · 1 - 3 Months
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution
4.3
Rating, 4.3 out of 5 stars
595 reviews
Mixed · Course · 1 - 3 Months
University of Pennsylvania
Statistics for Data Science Essentials
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
4.7
Rating, 4.7 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
École normale supérieure
Statistical Mechanics: Algorithms and Computations
Skills you'll gain: Sampling (Statistics), Physics, Simulations, Computational Logic, Numerical Analysis, Markov Model, Quantitative Research, Mathematical Modeling, Algorithms, Applied Mathematics, Linear Algebra
4.8
Rating, 4.8 out of 5 stars
264 reviews
Mixed · Course · 1 - 3 Months
University of California, Santa Cruz
Bayesian Statistics: Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, Probability Distribution
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Advanced Probability and Statistical Methods
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistical Inference, Probability, R Programming, Simulations
Intermediate · Course · 1 - 3 Months
University of Houston
Math behind Moneyball
Skills you'll gain: Statistics, Microsoft Excel, Game Theory, Predictive Modeling, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data Analysis, Analytics, Forecasting, Probability, Simulation and Simulation Software, Applied Mathematics, Strategic Decision-Making, Business Strategy
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Combinatorics and Probability
Skills you'll gain: Combinatorics, Probability, Algorithms, Mathematical Modeling, Statistics, Applied Mathematics, Python Programming, Simulations
4.6
Rating, 4.6 out of 5 stars
861 reviews
Beginner · Course · 1 - 3 Months
University of California San Diego
Number Theory and Cryptography
Skills you'll gain: Cryptographic Protocols, Cryptography, Encryption, Public Key Cryptography Standards (PKCS), Cybersecurity, Algorithms, Theoretical Computer Science, Computational Thinking, Python Programming, Logical Reasoning
4.5
Rating, 4.5 out of 5 stars
599 reviews
Beginner · Course · 1 - 4 Weeks
University of California San Diego
Algorithmic Toolbox
Skills you'll gain: Algorithms, Debugging, Development Testing, Software Testing, Computational Thinking, Computer Programming, Data Structures, Theoretical Computer Science
4.6
Rating, 4.6 out of 5 stars
12K reviews
Intermediate · Course · 1 - 3 Months