Why is it important to learn about probability?

It's important to learn about probability if you are interested in gambling, statistics, advanced mathematics, or data science. Probability is the understanding of the likelihood of something happening, so it is part of many careers that use data analysis or planning. It is a key part of financial analysis, statistical analysis, social sciences, and medical research. Many topics that cover probability are in computer science, but not all are. Understanding probability can help you solve the data problems faced in your organization. It can also help you understand why things happen in the world.

What are typical careers that use probability?

Typical careers that use probability are those that involve numbers. Probability can help a manager build a strategic plan, a scientist understand research findings, or a politician understand polling data. Some aspects of the study of probability are of use to almost anyone who has a basic understanding of math, while others are deeply theoretical. Those working in machine learning, data science, or statistical analysis will need a deep understanding of probability. When you learn probability, you will be able to understand what sets of numbers show. This is useful in analysis, exploratory data analysis, or for building probabilistic models. It is also a part of many games, so it can be useful outside of your career.

How can online courses on Coursera help me learn probability?

Online courses on Coursera can help you learn probability no matter your current level of math skills. Some cover an intuitive approach for beginners, while others look at statistical theories. There are classes that use specific computer languages or that apply to specific industries. For example, someone working in the social sciences may want to take different courses than someone working in machine learning. Courses include lectures, readings, and projects so that you can apply what you learn. You will have the opportunity to use data sets and to apply your learning to what you see at work or at school. Some courses stand alone, and others are part of Specializations and Professional Certificates.

What are the benefits of taking an online Probability course?

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

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

When looking to enhance your workforce's skills in Probability, 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 Courses - Learn Probability Online

Explore the Probability Course Catalog

École Polytechnique
Mécanique quantique
Skills you'll gain: Physics, Mechanics, Semiconductors, Linear Algebra, Probability, Calculus, Differential Equations, Advanced Mathematics, Mathematical Modeling, Experimentation
4.8
Rating, 4.8 out of 5 stars
149 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
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
Universidad Nacional Autónoma de México
Estadística y probabilidad: principios de Inferencia
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics
2.9
Rating, 2.9 out of 5 stars
15 reviews
Beginner · Course · 1 - 4 Weeks
École Polytechnique
Initiation à la théorie des distributions
Skills you'll gain: Differential Equations, Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Derivatives
4.8
Rating, 4.8 out of 5 stars
25 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Minnesota
Medical Technology and Evaluation
Skills you'll gain: Payment Systems, Healthcare Industry Knowledge, Medical Equipment and Technology, Cost Benefit Analysis, Clinical Trials, Health Technology, Clinical Data Management, Financial Regulations, Program Evaluation, Pharmaceuticals, Health Policy, Risk Analysis, Health Care Procedure and Regulation, Claims Processing, Health Care, Regulatory Affairs, Quality Assessment, Medicare, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
288 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Statistical Modeling for Data Science Applications
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra
Build toward a degree
4.1
Rating, 4.1 out of 5 stars
52 reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
University of Colorado System
Mathematical Foundations for Cryptography
Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science
4.6
Rating, 4.6 out of 5 stars
329 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Quantum Mechanics for Engineers
Skills you'll gain: Estimation, Linear Algebra, Physics, Mechanics, Engineering Calculations, Probability, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Mathematical Theory & Analysis, Differential Equations, Physical Science
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
98 reviews
Intermediate · Specialization · 1 - 3 Months
Universidad Austral
Estadística aplicada a los negocios
Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Business Risk Management, Risk Analysis, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling
4.6
Rating, 4.6 out of 5 stars
756 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Columbia University
Term-Structure and Credit Derivatives
Skills you'll gain: Derivatives, Mortgage Loans, Securities (Finance), Credit Risk, Financial Modeling, Risk Modeling, Financial Market, Actuarial Science, Mathematical Modeling, Securities Trading, Applied Mathematics, Investment Banking, Microsoft Excel, Risk Analysis, Probability, Cash Flows, Analysis
4.5
Rating, 4.5 out of 5 stars
59 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
SAS
Introduction to Statistical Analysis: Hypothesis Testing
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Exploratory Data Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Data Literacy
4.7
Rating, 4.7 out of 5 stars
168 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
American Psychological Association
Methods for Quantitative Research in Psychology
Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)
4.8
Rating, 4.8 out of 5 stars
160 reviews
Beginner · Course · 1 - 3 Months