What is probability theory?

Probability theory is a division of the mathematics field that's focused on analyzing random or uncertain distributions and phenomena. It doesn't predict a specific outcome from the data that's offered, but it tells analysts several different potential outcomes. It does this by applying mathematical equations to predict the things that may happen as a result of the information. Probability theory offers a scientific process that can be used to make an educated guess as to the most likely outcome, or event.

Why is it important to learn about probability theory?

It's important to learn about probability theory because it can help improve your critical thinking skills. It can also help you make better decisions and help you with taking control of potential outcomes and risks. This can be beneficial in both your professional career and in your everyday life. If you're interested in a career in science, probability theory is a vital part of scientific reasoning that you'll use frequently in your career. It's also an interesting topic to learn about and to discuss with peers.

How can taking online courses on Coursera help me learn probability theory?

Taking online courses on Coursera can help you learn probability theory by presenting each step of the learning process in a logical order that you can pass through from beginner-level courses through intermediate and advanced courses. If you already have an understanding of data science and advanced math skills, you move right to the courses you need to upgrade or refresh your skills. You also can take the courses at your own pace, so you're never rushed, and you can make sure you have a solid understanding of each concept before progressing to the next.

How do I know if learning probability theory is right for me?

If you're a highly analytical person who enjoys mathematics, probability theory may be right for you. It's also right for you if your goal is to work in the field of data science, statistical analysis, or data manipulation. Additionally, it's a useful study area if you want to work in finance or at a high-level accounting job.

What are the benefits of taking an online Probability Theory course?

Online Probability Theory courses offer a convenient and flexible way to enhance your knowledge or learn new Probability Theory skills. Choose from a wide range of Probability Theory courses offered by top universities and industry leaders tailored to various skill levels.

What Probability Theory courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Probability Theory, 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 Theory Courses - Learn Probability Theory Online

Explore the Probability Theory Course Catalog

Johns Hopkins University
Statistical Methods for Computer Science
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Statistics, Applied Machine Learning, Probability & Statistics, Statistical Methods, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Mathematical Modeling
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Computational and Graphical Models in Probability
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Mathematical Modeling, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning
Intermediate · Course · 1 - 4 Weeks
Status: Free
Universidad Nacional Autónoma de México
Estadística y probabilidad
Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing
4.6
Rating, 4.6 out of 5 stars
1.6K reviews
Beginner · Course · 1 - 4 Weeks
Multiple educators
Data Science Foundations
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, R Programming, Probability & Statistics, Predictive Modeling, Big Data, Automation, Computer Programming Tools, GitHub, Data Analysis Software, Machine Learning Algorithms, Unsupervised Learning
4.6
Rating, 4.6 out of 5 stars
111K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free
University of Amsterdam
Classical Sociological Theory
Skills you'll gain: Sociology, Social Sciences, Economics, Policy, and Social Studies, Socioeconomics, Culture, Political Sciences, Qualitative Research, Trend Analysis, Scientific Methods
4.9
Rating, 4.9 out of 5 stars
3K reviews
Mixed · Course · 1 - 3 Months
University of Amsterdam
Basic Statistics
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Statistical Software, Probability Distribution, Sampling (Statistics), Correlation Analysis, Probability, Sample Size Determination, Statistics, Regression Analysis, Statistical Inference
4.6
Rating, 4.6 out of 5 stars
4.5K reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Managing, Describing, and Analyzing Data
Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Probability, Systems Of Measurement
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
Databricks
Introduction to Computational Statistics for Data Scientists
Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms
4
Rating, 4 out of 5 stars
109 reviews
Beginner · Specialization · 1 - 3 Months
University of Houston
Math behind Moneyball
Skills you'll gain: Statistics, Microsoft Excel, Game Theory, Predictive Modeling, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data Analysis, Analytics, Forecasting, Probability, Simulation and Simulation Software, Applied Mathematics, Strategic Decision-Making, Business Strategy
4.5
Rating, 4.5 out of 5 stars
97 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Statistics and Data Analysis with Excel, Part 1
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Descriptive Analytics, Microsoft Excel, Excel Formulas, Data Analysis, Spreadsheet Software, Bayesian Statistics
4.7
Rating, 4.7 out of 5 stars
27 reviews
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Quantum Mechanics
Skills you'll gain: Engineering Calculations, Mathematical Software, Engineering Analysis, Numerical Analysis, Physics, Simulation and Simulation Software, Applied Mathematics, Mathematical Modeling, Advanced Mathematics, Differential Equations, Physical Science
4.5
Rating, 4.5 out of 5 stars
718 reviews
Advanced · Course · 1 - 4 Weeks
Johns Hopkins University
Hypothesis Testing in Public Health
Skills you'll gain: Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research
4.8
Rating, 4.8 out of 5 stars
633 reviews
Beginner · Course · 1 - 3 Months