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

Status: Free
The Chinese University of Hong Kong
Information Theory
Skills you'll gain: Digital Communications, Theoretical Computer Science, Probability, Probability Distribution, Information Technology, Statistics, Linear Algebra, Algorithms, Numerical Analysis
4.7
Rating, 4.7 out of 5 stars
131 reviews
Mixed · Course · 3 - 6 Months
Status: Free
National Taiwan University
頑想學概率：機率二 (Probability (2))
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Calculus
4.8
Rating, 4.8 out of 5 stars
92 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Stanford University
Understanding Einstein: The Special Theory of Relativity
Skills you'll gain: Physics, Timelines, Scientific Methods, Research, Experimentation, Mechanics, Mathematical Modeling
4.9
Rating, 4.9 out of 5 stars
3.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free
The University of Edinburgh
Fundamentals of Music Theory
4.5
Rating, 4.5 out of 5 stars
1.8K reviews
Beginner · Course · 1 - 3 Months
Arizona State University
Design of Experiments
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Modeling, Statistical Hypothesis Testing, Statistical Software, A/B Testing, Sampling (Statistics), Data Analysis, Estimation, Mathematical Modeling, Probability & Statistics, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Quality Control
4.7
Rating, 4.7 out of 5 stars
355 reviews
Beginner · Specialization · 3 - 6 Months
University of California, Santa Cruz
Bayesian Statistics: Mixture Models
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms
4.5
Rating, 4.5 out of 5 stars
60 reviews
Intermediate · Course · 1 - 3 Months
California Institute of the Arts
Graphic Design
Skills you'll gain: Typography, Design Elements And Principles, Graphic Design, Graphic and Visual Design, Logo Design, Digital Design, Color Theory, Adobe InDesign, Brand Strategy, Style Guides, Branding, Graphic and Visual Design Software, Creative Design, Design, Visual Design, Adobe Photoshop, Design Strategies, Design Reviews, Design Research, Storytelling
4.7
Rating, 4.7 out of 5 stars
21K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
National Taiwan University
頑想學概率：機率一 (Probability (1))
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistical Methods, Combinatorics
4.8
Rating, 4.8 out of 5 stars
358 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Mathematical Biostatistics Boot Camp 1
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Probability, Probability Distribution, Data Analysis, Statistical Analysis, Biostatistics
4.4
Rating, 4.4 out of 5 stars
509 reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Data Analysis with R
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Statistical Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Statistics, Data Science, Descriptive Statistics, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
Stanford University
Game Theory II: Advanced Applications
Skills you'll gain: Game Theory, Bidding, Economics, Policy, and Social Studies, Social Sciences, Economics, Behavioral Economics, Socioeconomics, Advanced Mathematics
4.7
Rating, 4.7 out of 5 stars
638 reviews
Advanced · Course · 1 - 3 Months
IIMA - IIM Ahmedabad
Pre-MBA Statistics
Skills you'll gain: Sampling (Statistics), Probability, Statistical Hypothesis Testing, Statistics, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Statistical Analysis, Descriptive Statistics, Sample Size Determination, Data Analysis, Data-Driven Decision-Making
4.6
Rating, 4.6 out of 5 stars
263 reviews
Beginner · Course · 1 - 3 Months