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

Imperial College London
Interventions and Calibration
Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Simulations, Statistical Modeling, R Programming, Differential Equations, Statistical Methods, Probability
4.7
Rating, 4.7 out of 5 stars
56 reviews
Intermediate · Course · 1 - 4 Weeks
EIT Digital
Geometric Algorithms
Skills you'll gain: Geometry, Algorithms, Computer Graphics, Data Structures, Graph Theory, Spatial Data Analysis, Computational Thinking, Geographic Information Systems, Pseudocode, Theoretical Computer Science, Spatial Analysis
4.4
Rating, 4.4 out of 5 stars
24 reviews
Intermediate · Course · 1 - 4 Weeks
University of Michigan
How to Describe Data
Skills you'll gain: Histogram, Data Visualization, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Sampling (Statistics), Data Quality, Data Integrity
4.6
Rating, 4.6 out of 5 stars
12 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
The Total Data Quality Framework
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Exploratory Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
4.6
Rating, 4.6 out of 5 stars
43 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free
École Polytechnique Fédérale de Lausanne
Systèmes d’Information Géographique - Partie 2
Skills you'll gain: GIS Software, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Sampling (Statistics), Data Mapping, Correlation Analysis, Color Theory
4.3
Rating, 4.3 out of 5 stars
43 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Campus BBVA
Business Analytics
Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Business Analytics, Data Visualization, Data Quality, Business Intelligence, Data Analysis, Analytics, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Project Management Life Cycle
4.9
Rating, 4.9 out of 5 stars
8 reviews
Beginner · Course · 1 - 3 Months
Status: Free
Universiteit Leiden
Population Health: Study Design
Skills you'll gain: Data Analysis, Research Design, Epidemiology, Statistical Analysis, Clinical Research, Biostatistics, Quantitative Research, Probability & Statistics, Research Methodologies, Risk Analysis
4.3
Rating, 4.3 out of 5 stars
20 reviews
Intermediate · Course · 1 - 3 Months
Universiteit Leiden
Population Health: Syndemics
Skills you'll gain: Qualitative Research, Research Methodologies, Social Justice, Social Sciences, Epidemiology, Research, Community and Social Work, Sociology, Infectious Diseases, Health Care, Behavioral Health, Anthropology, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
10 reviews
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Calculus through Data & Modelling: Techniques of Integration
Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Graphing
4.7
Rating, 4.7 out of 5 stars
35 reviews
Intermediate · Course · 1 - 4 Weeks
Sungkyunkwan University
Machine Learning Algorithms
Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification And Regression Tree (CART), Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Bayesian Statistics, Probability
3.5
Rating, 3.5 out of 5 stars
8 reviews
Mixed · Course · 1 - 4 Weeks
S.P. Jain Institute of Management and Research
Data Analysis
Skills you'll gain: Data Analysis, Quantitative Research, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Business Analytics, Regression Analysis, Data-Driven Decision-Making, Statistical Analysis, Probability Distribution, Microsoft Excel, Statistical Inference, Probability, Variance Analysis, Estimation
Build toward a degree
Beginner · Course · 1 - 3 Months
University of Colorado System
Data Science for Marketing
Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, Statistical Software, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Data Presentation, Statistical Hypothesis Testing, Customer Insights, Advanced Analytics, Bayesian Network
4.7
Rating, 4.7 out of 5 stars
9 reviews
Intermediate · Specialization · 3 - 6 Months