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
Wesleyan University
Regression Modeling in Practice
Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics)
4.4
Rating, 4.4 out of 5 stars
274 reviews
Mixed · Course · 1 - 4 Weeks
University of Leeds
Statistical Methods
Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Data Collection, Statistics, Statistical Inference, R Programming, Probability, Data Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics
4.8
Rating, 4.8 out of 5 stars
9 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of California, Santa Cruz
Bayesian Statistics: Capstone Project
Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution
Advanced · Course · 1 - 4 Weeks
Status: Free Trial
Columbia University
Computational Methods in Pricing and Model Calibration
Skills you'll gain: Regression Analysis, Derivatives, Financial Market, Statistical Methods, Financial Modeling, Securities (Finance), Mathematical Modeling, Numerical Analysis, Equities, Financial Data, Python Programming, Probability Distribution, Algorithms
4.4
Rating, 4.4 out of 5 stars
40 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado Boulder
Modern Regression Analysis in R
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
30 reviews
Intermediate · Course · 1 - 3 Months
University of Colorado System
Genetic Epidemiology Foundations
Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Correlation Analysis, Medical Science and Research, Data Quality, Probability & Statistics, Molecular Biology, Statistical Methods, Regression Analysis, Data Validation, Biology
4.5
Rating, 4.5 out of 5 stars
50 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
IBM
Generative AI Advance Fine-Tuning for LLMs
Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Performance Tuning, Reinforcement Learning, Natural Language Processing
4.3
Rating, 4.3 out of 5 stars
74 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Wesleyan University
Data Analysis Tools
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Statistical Software, Correlation Analysis, SAS (Software), Data Analysis, Statistical Methods, Quantitative Research, Probability & Statistics, Analytical Skills, Regression Analysis, Data Management, Statistical Inference
4.5
Rating, 4.5 out of 5 stars
414 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free
École normale supérieure
Approximation Algorithms Part I
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Operations Research, Linear Algebra, Mathematical Modeling, Solution Design, Probability
4.7
Rating, 4.7 out of 5 stars
554 reviews
Mixed · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Compare Stock Returns with Google Sheets
Skills you'll gain: Risk Analysis, Google Sheets, Financial Analysis, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistics, Securities (Finance), Probability & Statistics
4.3
Rating, 4.3 out of 5 stars
665 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
IBM
AI Workflow: Business Priorities and Data Ingestion
Skills you'll gain: Design Thinking, Data Science, Artificial Intelligence, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, NumPy, IBM Cloud, Python Programming
4.3
Rating, 4.3 out of 5 stars
164 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Maryland, College Park
Dealing With Missing Data
Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference
3.8
Rating, 3.8 out of 5 stars
135 reviews
Mixed · Course · 1 - 3 Months