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

Ball State University
Introduction to Data Science
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Data Visualization Software, R Programming, Data Science, Sampling (Statistics), Probability, Simulations, Data Wrangling, Analytical Skills, Data Analysis, Mathematical Theory & Analysis, General Mathematics, Statistical Analysis, Information Privacy, Regression Analysis, Arithmetic, Data Structures
Build toward a degree
Beginner · Course · 1 - 3 Months
The Hong Kong University of Science and Technology
Social Science Approaches to the Study of Chinese Society Part 2
Skills you'll gain: Research Design, Social Sciences, Research, Surveys, Qualitative Research, Statistical Analysis, Data Collection, Higher Education, Correlation Analysis, Sample Size Determination, Ethical Standards And Conduct, Probability & Statistics, Regression Analysis
4.7
Rating, 4.7 out of 5 stars
20 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Illinois Tech
Linear Regression
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
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
Packt
Statistics & Mathematics for Data Science & Data Analytics
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado System
Customer Data Analytics for Marketers
Skills you'll gain: Marketing Analytics, Probability & Statistics, Statistical Methods, Regression Analysis, Data-Driven Decision-Making, Data Ethics, Statistical Analysis, Marketing Effectiveness, Statistical Hypothesis Testing, Customer Insights, Customer Analysis, Correlation Analysis, Descriptive Statistics, Data Analysis, Analytics, Marketing Strategies, Exploratory Data Analysis, Statistical Visualization, Statistical Modeling
4.9
Rating, 4.9 out of 5 stars
10 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Fundação Instituto de Administração
Pesquisa de Mercado e Estratégia de Marketing
Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Marketing Management, Data Collection, Market Intelligence, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Analysis, Data-Driven Decision-Making, Marketing
4.6
Rating, 4.6 out of 5 stars
36 reviews
Beginner · Specialization · 3 - 6 Months
Erasmus University Rotterdam
Necessary Condition Analysis (NCA)
Skills you'll gain: Data Analysis, Statistical Reporting, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, Qualitative Research, R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing
4.9
Rating, 4.9 out of 5 stars
28 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
How to Describe Data
Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation
4.7
Rating, 4.7 out of 5 stars
18 reviews
Beginner · Course · 1 - 4 Weeks
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
Coursera Project Network
Interpretable machine learning applications: Part 5
Skills you'll gain: Anomaly Detection, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, Policy Analysis, Statistical Methods, Descriptive Statistics, Data Ethics, Probability & Statistics, Applied Machine Learning, Public Policies
4.4
Rating, 4.4 out of 5 stars
14 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Packt
Introduction to NLP and Syntactic Processing
Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Unstructured Data, Markov Model, Python Programming, Feature Engineering, Algorithms, Machine Learning Methods, Probability & Statistics
Intermediate · Course · 1 - 3 Months