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

McMaster University
Experimentation for Improvement
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Process Improvement and Optimization, Regression Analysis, Statistical Software, Mathematical Modeling, R Programming, Data Analysis, Statistical Analysis
4.9
Rating, 4.9 out of 5 stars
921 reviews
Intermediate · Course · 1 - 3 Months
Yale University
Understanding Medical Research: Your Facebook Friend is Wrong
Skills you'll gain: Probability & Statistics, Research Design, Medical Science and Research, Statistics, Data Literacy, Statistical Analysis, Scientific Methods, Clinical Research
4.9
Rating, 4.9 out of 5 stars
2.2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Georgia Institute of Technology
Games without Chance: Combinatorial Game Theory
Skills you'll gain: Game Theory, Combinatorics, Mathematical Theory & Analysis, Computational Logic, Mathematical Modeling
4.3
Rating, 4.3 out of 5 stars
210 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Summary Statistics in Public Health
Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Methods, Data Literacy, Probability Distribution, Public Health, Statistical Analysis, Clinical Trials, Sample Size Determination
4.8
Rating, 4.8 out of 5 stars
2K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
113K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Hypothesis Testing in Public Health
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Statistical Analysis, Quantitative Research, Medical Science and Research, Probability & Statistics, Public Health
4.8
Rating, 4.8 out of 5 stars
637 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Stanford University
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Programming Principles, Probability & Statistics, Probability
4.8
Rating, 4.8 out of 5 stars
5.3K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Natural Language Processing with Probabilistic Models
Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Data Cleansing, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
1.8K reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Amsterdam
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sampling (Statistics), Probability & Statistics, Regression Analysis, Statistical Inference, Statistical Analysis, Quantitative Research, Probability Distribution, R Programming
4.4
Rating, 4.4 out of 5 stars
599 reviews
Mixed · Course · 1 - 3 Months
Status: Free Trial
University of Pennsylvania
Introduction to Spreadsheets and Models
Skills you'll gain: Regression Analysis, Spreadsheet Software, Google Sheets, Financial Modeling, Microsoft Excel, Data Modeling, Forecasting, Risk Analysis, Probability & Statistics, Business Modeling, Statistical Analysis, Simulation and Simulation Software, Process Improvement and Optimization
4.2
Rating, 4.2 out of 5 stars
3.8K reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
Imperial College London
Mathematics for Machine Learning: PCA
Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Machine Learning, Calculus
4
Rating, 4 out of 5 stars
3.1K reviews
Intermediate · Course · 1 - 4 Weeks