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

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
Stanford University
Probabilistic Graphical Models 3: Learning
Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Predictive Modeling, Network Model, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
4.6
Rating, 4.6 out of 5 stars
302 reviews
Advanced · Course · 1 - 3 Months
University of Pennsylvania
A Crash Course in Causality: Inferring Causal Effects from Observational Data
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Statistical Inference, Data Analysis, Quantitative Research, Probability & Statistics, Regression Analysis, Research Design, Graph Theory
4.7
Rating, 4.7 out of 5 stars
563 reviews
Intermediate · 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
Universidad de los Andes
Fundamentos de probabilidad y aplicaciones
Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
170 reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
University of Toronto
Introduction to Self-Driving Cars
Skills you'll gain: Automation, Simulation and Simulation Software, Software Architecture, Hardware Architecture, Process Control, Systems Architecture, Computer Vision, Verification And Validation, Mathematical Modeling, Mechanical Engineering, Safety and Security
4.7
Rating, 4.7 out of 5 stars
2.9K reviews
Advanced · Course · 1 - 3 Months
University of Michigan
Understanding and Visualizing Data with Python
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Box Plots, Histogram, Python Programming
4.7
Rating, 4.7 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 4 Weeks
University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability, Algorithms
4.8
Rating, 4.8 out of 5 stars
489 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Vanderbilt University
Data Management for Clinical Research
Skills you'll gain: Clinical Data Management, Data Capture, Clinical Research, Data Management, Data Collection, Data Sharing, Data Strategy, Data Quality, Sampling (Statistics), Data Storage, Regulatory Compliance
4.7
Rating, 4.7 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Summary Statistics in Public Health
Skills you'll gain: Biostatistics, Histogram, Box Plots, Statistical Visualization, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Research Design, Statistical Methods, Probability Distribution, Science and Research, Sampling (Statistics), Statistical Inference, Analysis, Sample Size Determination
4.8
Rating, 4.8 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
New York Institute of Finance
Introduction to Risk Management
Skills you'll gain: Risk Management, Business Risk Management, Risk Modeling, Risk Appetite, Risk Management Framework, Operational Risk, Enterprise Risk Management (ERM), Credit Risk, Risk Analysis, Portfolio Management, Capital Markets, Financial Market, Investment Management, Regulatory Requirements, Financial Regulation, Financial Modeling, Market Liquidity, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
674 reviews
Beginner · Course · 1 - 3 Months