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
Duke University
Data Science Math Skills
Skills you'll gain: Probability, Bayesian Statistics, Calculus, Graphing, Data Science, Algebra, Arithmetic, Derivatives
4.5
Rating, 4.5 out of 5 stars
13K reviews
Beginner · 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
272 reviews
Beginner · Course · 1 - 3 Months
University of Amsterdam
Methods and Statistics in Social Sciences
Skills you'll gain: Qualitative Research, Statistical Hypothesis Testing, Scientific Methods, Descriptive Statistics, Statistical Inference, Statistical Analysis, Statistical Software, Probability Distribution, Research, Correlation Analysis, Research Design, Sampling (Statistics), Research Reports, Science and Research, Probability, Interviewing Skills, Data Analysis, Sample Size Determination, Statistical Methods, Social Sciences
4.6
Rating, 4.6 out of 5 stars
7.6K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Data Analysis with R
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Software, Bayesian Statistics, R Programming, Statistical Analysis, Data Analysis, Statistical Modeling, Probability, Statistics, Data Science, Statistical Methods, Descriptive Statistics, Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
7.5K reviews
Beginner · Specialization · 3 - 6 Months
University of Minnesota
Software Development Lifecycle
Skills you'll gain: User Story, Agile Software Development, Software Design Patterns, Design Thinking, Software Development Methodologies, Agile Methodology, Agile Project Management, Process Mapping, Software Engineering, Kanban Principles, Software Development Life Cycle, Application Security, Scrum (Software Development), Object Oriented Design, Software Architecture, User Experience Design, Software Quality (SQA/SQC), Requirements Analysis, Application Deployment, Lean Methodologies
4.7
Rating, 4.7 out of 5 stars
9.6K reviews
Intermediate · Specialization · 3 - 6 Months
University of Pennsylvania
Fundamentals of Quantitative Modeling
Skills you'll gain: Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Financial Modeling, Business Mathematics, Predictive Modeling, Probability, Operations Research, Business Process Modeling, Business Risk Management, Statistical Analysis, Probability Distribution, Simulation and Simulation Software
4.6
Rating, 4.6 out of 5 stars
9.1K reviews
Mixed · Course · 1 - 4 Weeks
Status: New
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Software Development Tools, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
112K reviews
Beginner · Specialization · 3 - 6 Months
Duke University
Inferential Statistics
Skills you'll gain:
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free
Universiteit Leiden
International Humanitarian Law in Theory and Practice
Skills you'll gain: Law, Regulation, and Compliance, International Relations, Conflict Management, Child Welfare, Ethical Standards And Conduct, Disabilities, Journalism
4.8
Rating, 4.8 out of 5 stars
1.9K reviews
Beginner · Course · 1 - 3 Months
University of Pennsylvania
Customer Analytics
Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Marketing Analytics, Predictive Analytics, Customer Insights, Customer Analysis, Business Analytics, Analytics, Marketing, Data Collection, Marketing Strategies, Data Analysis, Market Research, Regression Analysis, Consumer Behaviour
4.6
Rating, 4.6 out of 5 stars
12K reviews
Mixed · Course · 1 - 3 Months
Status: Free
Korea Advanced Institute of Science and Technology(KAIST)
Differential Equations Part I Basic Theory
Skills you'll gain: Differential Equations, Mathematical Modeling, Applied Mathematics, Calculus, Vibrations, Mechanics
4.7
Rating, 4.7 out of 5 stars
1.4K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Introduction to Data Science in Python
Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles
4.5
Rating, 4.5 out of 5 stars
27K reviews
Intermediate · Course · 1 - 4 Weeks