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 California San Diego
Algorithms on Strings
Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Precision Medicine, Life Sciences
4.5
Rating, 4.5 out of 5 stars
1.1K reviews
Intermediate · Course · 1 - 4 Weeks
New York Institute of Finance
Operational Risk Management: Frameworks & Strategies
Skills you'll gain: Operational Risk, Risk Management Framework, Risk Management, Business Risk Management, Enterprise Risk Management (ERM), Risk Appetite, Risk Control, Governance, Risk Analysis, Key Performance Indicators (KPIs), Business Process, Regulatory Requirements, Analysis
4.6
Rating, 4.6 out of 5 stars
352 reviews
Beginner · Course · 1 - 3 Months
École Polytechnique Fédérale de Lausanne
Digital Signal Processing 1: Basic Concepts and Algorithms
Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics
4.5
Rating, 4.5 out of 5 stars
622 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free
Johns Hopkins University
Systems Thinking In Public Health
Skills you'll gain: Systems Thinking, Health Systems, Health Policy, Public Health, Policy Analysis, Policy Development, Simulations, Systems Analysis, Qualitative Research
4.6
Rating, 4.6 out of 5 stars
930 reviews
Mixed · Course · 1 - 4 Weeks
Stanford University
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science
4.8
Rating, 4.8 out of 5 stars
1.3K reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
The Structured Query Language (SQL)
Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Data Access, Data Analysis, Data Manipulation, Data Modeling, Data Integrity
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Designing the Organization
Skills you'll gain: Organizational Structure, Governance, Organizational Strategy, Organizational Effectiveness, Organizational Change, Business Management, Innovation, Systems Thinking, Business Strategies, Growth Strategies, Decision Making
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Inferential Statistical Analysis with Python
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy
4.6
Rating, 4.6 out of 5 stars
918 reviews
Intermediate · Course · 1 - 4 Weeks
University of California San Diego
Delivery Problem
Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Operations Research, Data Structures, Applied Mathematics, Python Programming, Computer Programming, Program Development, Mathematical Modeling
4.7
Rating, 4.7 out of 5 stars
374 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
National Taiwan University
頑想學概率：機率一 (Probability (1))
Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy
4.8
Rating, 4.8 out of 5 stars
360 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Data – What It Is, What We Can Do With It
Skills you'll gain: Data Literacy, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
4.6
Rating, 4.6 out of 5 stars
172 reviews
Beginner · Course · 1 - 4 Weeks
IBM
Supervised Machine Learning: Classification
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric
4.8
Rating, 4.8 out of 5 stars
407 reviews
Intermediate · Course · 1 - 3 Months