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
University of Michigan
The Total Data Quality Framework
Skills you'll gain: Data Quality, Data Cleansing, Data Collection, Data Validation, Data Analysis, Data Processing, Threat Detection, Data Access, Sampling (Statistics)
4.6
Rating, 4.6 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Packt
The STATA OMNIBUS: Regression and Modelling with STATA
Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Analysis, Advanced Analytics, Correlation Analysis, Statistical Visualization, Data Manipulation, Sampling (Statistics), Statistical Hypothesis Testing, Descriptive Statistics
Beginner · Course · 3 - 6 Months
Status: Free Trial
Fractal Analytics
Human Decision Making and its Biases
Skills you'll gain: Decision Making, Critical Thinking, Analytical Skills, Behavioral Economics, Problem Solving, Data Analysis, Artificial Intelligence, Emotional Intelligence, Self-Awareness, Psychology, Algorithms, Probability
4.9
Rating, 4.9 out of 5 stars
34 reviews
Beginner · Course · 1 - 4 Weeks
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Universiteit Leiden
Population Health: Predictive Analytics
Skills you'll gain: Predictive Analytics, Predictive Modeling, Risk Modeling, R Programming, Statistical Modeling, Sample Size Determination, Statistical Inference, Regression Analysis, Statistical Machine Learning, Feature Engineering, Sampling (Statistics), Data Manipulation, Data Validation
4.6
Rating, 4.6 out of 5 stars
24 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Northeastern University
Foundations of Statistical Learning & Algorithms
Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra
Mixed · Course · 1 - 4 Weeks
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
19 reviews
Beginner · Course · 1 - 4 Weeks
Clemson University
Design and Analysis of Algorithms
Skills you'll gain: Graph Theory, Data Structures, Algorithms, Theoretical Computer Science, Computational Thinking, Applied Mathematics, Combinatorics, Performance Testing, Computer Science, Computer Programming, Design Strategies, Probability, Probability Distribution
Build toward a degree
4.4
Rating, 4.4 out of 5 stars
30 reviews
Intermediate · Course · 1 - 3 Months
Status: New
University of Colorado Boulder
Fundamentals of Natural Language Processing
Skills you'll gain: Natural Language Processing, Text Mining, Statistical Modeling, Data Processing, Probability & Statistics, Unstructured Data, Artificial Neural Networks, Machine Learning, Supervised Learning, Algorithms, Regression Analysis
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
Ball State University
Statistical Methods for Data Science
Skills you'll gain: Statistical Inference, Probability, Statistics, Statistical Methods, Statistical Modeling, Probability Distribution, Statistical Hypothesis Testing, Bayesian Statistics, Statistical Analysis, Data Science, R Programming, Sampling (Statistics), Simulations, Descriptive Statistics
Build toward a degree
Intermediate · Course · 1 - 3 Months
Tufts University
Hypothesis Testing with Python and Excel
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Business Analytics, Python Programming
4.2
Rating, 4.2 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
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