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

The Hong Kong University of Science and Technology
Python and Statistics for Financial Analysis
Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling
4.4
Rating, 4.4 out of 5 stars
4.5K reviews
Intermediate · Course · 1 - 4 Weeks
Stanford University
Game Theory
Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Markov Model, Algorithms
4.6
Rating, 4.6 out of 5 stars
4.8K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Stanford University
Probabilistic Graphical Models 1: Representation
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing
4.6
Rating, 4.6 out of 5 stars
1.4K reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Arizona State University
Experimental Design Basics
Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
295 reviews
Intermediate · Course · 1 - 3 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Probability Distribution
3.8
Rating, 3.8 out of 5 stars
797 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Columbia University
Causal Inference
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Estimation, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Program Evaluation, Decision Making
3.4
Rating, 3.4 out of 5 stars
99 reviews
Advanced · Course · 1 - 3 Months
École Polytechnique
Aléatoire : une introduction aux probabilités - Partie 1
Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Simulations, Data Visualization, Statistics, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics
4.5
Rating, 4.5 out of 5 stars
105 reviews
Mixed · Course · 1 - 3 Months
SAS
Statistical Thinking for Industrial Problem Solving, presented by JMP
Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Statistical Visualization
4.9
Rating, 4.9 out of 5 stars
92 reviews
Beginner · Course · 1 - 3 Months
Erasmus University Rotterdam
Econometrics: Methods and Applications
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Data Analysis, Statistical Analysis, Quantitative Research, Statistical Modeling, Statistics, Predictive Analytics, Probability, Linear Algebra, Peer Review
4.6
Rating, 4.6 out of 5 stars
1.2K reviews
Mixed · Course · 1 - 3 Months
Eindhoven University of Technology
Improving your statistical inferences
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Collection, R Programming, Data Sharing, Probability Distribution
4.9
Rating, 4.9 out of 5 stars
796 reviews
Intermediate · Course · 1 - 3 Months
Northeastern University
Data Analytics Engineering: Probability & Techniques
Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Descriptive Statistics, Data Visualization Software, Python Programming
Mixed · Course · 1 - 4 Weeks