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

Status: Free Trial
Rice University
Data Analysis for Managerial Decision-Making
Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis
4.5
Rating, 4.5 out of 5 stars
11 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Princeton University
Analytic Combinatorics
Skills you'll gain: Combinatorics, Mathematical Theory & Analysis, Advanced Mathematics, Graph Theory, Theoretical Computer Science, Calculus, Probability, Computational Thinking, Applied Mathematics
4.7
Rating, 4.7 out of 5 stars
70 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Data Science for Health Research
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Data Visualization Software, Regression Analysis, R Programming, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Correlation Analysis, Histogram, Classification And Regression Tree (CART), Data Analysis, Statistical Analysis
5
Rating, 5 out of 5 stars
9 reviews
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Data Driven Decision Making
Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills, Data-Driven Decision-Making, Engineering Management, R Programming, Probability & Statistics, Variance Analysis, Regression Analysis
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
27 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Michigan
Data-Oriented Python Programming and Debugging
Skills you'll gain: Debugging, NumPy, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Pandas (Python Package), Data Structures, Probability & Statistics, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Program Development, Large Language Modeling, Data Manipulation, Programming Principles, Computer Programming, Python Programming
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Random Processes
Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Arizona State University
Random Models, Nested and Split-plot Designs
Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
34 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado System
Kalman Filter Boot Camp (and State Estimation)
Skills you'll gain: Linear Algebra, Mathematical Modeling, Estimation, Matlab, Simulations, Engineering Analysis, Applied Mathematics, Control Systems, Time Series Analysis and Forecasting, Probability & Statistics, Statistical Methods, Probability Distribution
4.9
Rating, 4.9 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
SkillUp EdTech
ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization
Skills you'll gain: Process Mapping, Root Cause Analysis, Lean Six Sigma, Lean Methodologies, Correlation Analysis, Process Improvement, Quality Improvement, Lean Manufacturing, Six Sigma Methodology, Regression Analysis, Statistical Methods, Statistics, Continuous Improvement Process, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Process Optimization, Process Management, Risk Management
4.8
Rating, 4.8 out of 5 stars
16 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Fractal Analytics
Python for Data Science
Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Visualization, Statistical Analysis, Probability & Statistics, Statistics, Data Wrangling, Pandas (Python Package), Data Analysis, Jupyter, Data Processing, Data Manipulation, Data Science, Descriptive Statistics, Data Transformation, Applied Machine Learning, Data Cleansing, Python Programming
4
Rating, 4 out of 5 stars
45 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Illinois Tech
Linear Regression
Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
Peking University
人群与网络
Skills you'll gain: Game Theory, Graph Theory, Network Analysis, Market Dynamics, Social Sciences, Web Analytics and SEO, Computational Thinking, Information Technology, Sociology, Political Sciences, Economics, Behavioral Economics, Probability
4.7
Rating, 4.7 out of 5 stars
114 reviews
Mixed · Course · 3 - 6 Months