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

Johns Hopkins University
Fundamentals of Scientific Research Under Uncertainty
Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Experimentation, Investigation, Social Sciences, Statistical Methods
5
Rating, 5 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
University of California, Santa Cruz
Bayesian Statistics: Time Series Analysis
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, Probability Distribution
4.4
Rating, 4.4 out of 5 stars
16 reviews
Intermediate · Course · 1 - 3 Months
University of Houston
Math behind Moneyball
Skills you'll gain: Statistics, Microsoft Excel, Game Theory, Predictive Modeling, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data Analysis, Analytics, Forecasting, Probability, Simulation and Simulation Software, Applied Mathematics, Strategic Decision-Making, Business Strategy
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
Status: Free
University of Leeds
Statistical Methods
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Data Collection, Statistical Inference, R Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics)
4.7
Rating, 4.7 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Basic Statistics in Python (Correlations and T-tests)
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Python Programming
4.3
Rating, 4.3 out of 5 stars
32 reviews
Beginner · Guided Project · Less Than 2 Hours
University of California, Santa Cruz
Bayesian Statistics: From Concept to Data Analysis
Skills you'll gain: Bayesian Statistics, Statistical Inference, Data Analysis, Probability, Statistical Modeling, Statistical Analysis, Microsoft Excel, Probability Distribution, R Programming, Regression Analysis
4.6
Rating, 4.6 out of 5 stars
3.2K reviews
Intermediate · Course · 1 - 4 Weeks
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 Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 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
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, Probability Distribution, Algorithms
4.8
Rating, 4.8 out of 5 stars
487 reviews
Intermediate · Course · 1 - 3 Months
University of Pennsylvania
Modeling Risk and Realities
Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability, Strategic Decision-Making, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Statistics, Microsoft Excel
4.6
Rating, 4.6 out of 5 stars
2.2K reviews
Mixed · Course · 1 - 4 Weeks
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Software, Statistical Analysis, Statistical Methods, Quantitative Research, Sampling (Statistics), Probability & Statistics, Regression Analysis, Probability Distribution
4.3
Rating, 4.3 out of 5 stars
595 reviews
Mixed · Course · 1 - 3 Months
Coursera Project Network
Using probability distributions for real world problems in R
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability
4.8
Rating, 4.8 out of 5 stars
26 reviews
Beginner · Guided Project · Less Than 2 Hours