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.

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1414 results for "probability"

Free
University of California, Santa Cruz
Bayesian Statistics
Skills you'll gain: Probability & Statistics, Bayesian Statistics, General Statistics, Probability Distribution, Data Science, Statistical Programming, R Programming, Regression, Forecasting, Machine Learning, Markov Model, Statistical Machine Learning, Bayesian Network, Basic Descriptive Statistics, Estimation, Experiment, Correlation And Dependence, Data Visualization, Machine Learning Algorithms, Statistical Tests, Statistical Visualization, Advertising, Business Analysis, Communication, Data Analysis, Graph Theory, Marketing, Mathematics, Statistical Analysis
4.6
(3.3k reviews)
Intermediate · Specialization · 3-6 Months
Free
Stanford University
Introduction to Statistics
Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization
4.6
(2.1k reviews)
Beginner · Course · 1-3 Months
Free
Duke University
Introduction to Probability and Data with R
Skills you'll gain: General Statistics, Probability & Statistics, Probability Distribution, Statistical Tests, Data Analysis, Statistical Analysis, Correlation And Dependence, Experiment, R Programming, Basic Descriptive Statistics, Bayesian Statistics, Data Mining, Plot (Graphics), Statistical Visualization, Data Analysis Software, Data Visualization, Exploratory Data Analysis, Statistical Programming
4.7
(5.4k reviews)
Beginner · Course · 1-3 Months
Palo Alto Networks
Palo Alto Networks Cybersecurity
Skills you'll gain: Computer Networking, Security Engineering, Network Security, Strategy and Operations, Cloud Computing, Computer Architecture, Network Architecture, Operating Systems, System Security, Cloud Infrastructure, Network Model, Cyberattacks, Leadership and Management, Security Strategy, Cloud Platforms, Entrepreneurship, Marketing, Probability & Statistics, Sales, Security Software, Strategy, Epidemiology, Finance, General Statistics, Internet Of Things, Risk Management, Software As A Service, Software Engineering, Software Security
4.6
(287 reviews)
Beginner · Professional Certificate · 3-6 Months
University of Pennsylvania
Business Analytics
Skills you'll gain: Business Analysis, Data Analysis, Probability & Statistics, Statistical Analysis, General Statistics, Research and Design, Forecasting, Strategy and Operations, Correlation And Dependence, Financial Analysis, Accounting, Human Resources, Marketing, Operational Analysis, Operations Management, Operations Research, Probability Distribution, Spreadsheet Software, Supply Chain and Logistics, Customer Analysis, Financial Accounting, Market Analysis, Market Research, Basic Descriptive Statistics, Exploratory Data Analysis, Finance, People Management, Performance Management, Regulations and Compliance, Statistical Tests, Talent Management, Collaboration, Communication, Critical Thinking, Data Management, Data Mining, Data Model, Data Visualization, Generally Accepted Accounting Principles (GAAP), HR Tech, Leadership Development, Leadership and Management, MarTech, Marketing Management, Media Strategy & Planning, Microsoft Excel, Organizational Development, Plot (Graphics), Process Analysis, Recruitment, Statistical Programming, Statistical Visualization, Applied Mathematics, Big Data, Business Psychology, Computational Logic, Computer Programming, Computer Programming Tools, Data Analysis Software, Data Structures, Decision Making, Entrepreneurship, Estimation, Mathematics, Network Analysis, People Analysis, People Development, Regression, Sales, Strategy, Theoretical Computer Science
4.6
(17.2k reviews)
Beginner · Specialization · 3-6 Months
DeepLearning.AI
Mathematics for Machine Learning and Data Science
Skills you'll gain: Mathematics, Algebra, Linear Algebra, Mathematical Theory & Analysis, Algorithms, Calculus, Machine Learning, Theoretical Computer Science, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Probability & Statistics, Regression, Computer Programming, Differential Equations, Econometrics, General Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Statistical Analysis
4.5
(257 reviews)
Beginner · Specialization · 1-3 Months
Rice University
Business Statistics and Analysis
Skills you'll gain: Business Analysis, General Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Spreadsheet Software, Microsoft Excel, Statistical Tests, Basic Descriptive Statistics, Regression, Business Intelligence, Data Visualization, Probability Distribution, Statistical Visualization, Experiment, Plot (Graphics), Data Mining, Exploratory Data Analysis, Computer Programming, Correlation And Dependence, Data Analysis Software, Econometrics, Mathematics
4.7
(11.7k reviews)
Beginner · Specialization · 3-6 Months

Searches related to probability

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probability & statistics for machine learning & data science

probability theory: foundation for data science

using probability distributions for real world problems in r

introduction to probability and data with r

combinatorics and probability

an intuitive introduction to probability

In summary, here are 10 of our most popular probability courses

An Intuitive Introduction to Probability: University of Zurich
Bayesian Statistics: University of California, Santa Cruz
Defining, Describing, and Visualizing Data: University of Colorado Boulder
Introduction to Statistics: Stanford University
Probability Theory: Foundation for Data Science: University of Colorado Boulder
Probability and Statistics: To p or not to p?: University of London
Data Science Foundations: Statistical Inference: University of Colorado Boulder
Introduction to Probability and Data with R: Duke University
Palo Alto Networks Cybersecurity: Palo Alto Networks
Business Analytics: University of Pennsylvania

Frequently Asked Questions 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.‎
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.‎
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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Filter by

1414 results for "probability"

An Intuitive Introduction to Probability

Bayesian Statistics

Defining, Describing, and Visualizing Data

Introduction to Statistics

Probability Theory: Foundation for Data Science

Probability and Statistics: To p or not to p?

Data Science Foundations: Statistical Inference

Introduction to Probability and Data with R

Palo Alto Networks Cybersecurity

Business Analytics

Mathematics for Machine Learning and Data Science

Business Statistics and Analysis

Searches related to probability

In summary, here are 10 of our most popular probability courses

Frequently Asked Questions about Probability

Why is it important to learn about probability?‎

What are typical careers that use probability?‎

How can online courses on Coursera help me learn probability?‎

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1414 results for "probability"

Searches related to probability

In summary, here are 10 of our most popular probability courses

Frequently Asked Questions about Probability

Why is it important to learn about probability?‎

What are typical careers that use probability?‎

How can online courses on Coursera help me learn probability?‎

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Learn Something New

Popular Data Science Topics

Popular Computer Science & IT Topics

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