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

Packt
Deep Learning - Artificial Neural Networks with TensorFlow
Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Image Analysis, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Regression Analysis, NumPy, Network Architecture, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Colorado System
Particle Filters (and Navigation)
Skills you'll gain: Bayesian Network, Numerical Analysis, Estimation, Simulations, Matlab, Global Positioning Systems, Mathematical Modeling, Applied Mathematics, Engineering Analysis, Algorithms, Computer Programming Tools
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
American Psychological Association
Intro to Null Hypothesis Significance Testing with z-test
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Data Literacy, Analytical Skills
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Data Science Decisions in Time: Using Causal Information
Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Decision Tree Learning, Business Analytics, Data Science, Strategic Decision-Making, Regression Analysis, Random Forest Algorithm, Medical Science and Research, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Università di Napoli Federico II
Asset Pricing Fundamentals
Skills you'll gain: Financial Market, Portfolio Management, Investments, Equities, Capital Markets, Finance, Risk Analysis, Economics, Risk Management, Probability Distribution, Decision Making
Intermediate · Course · 1 - 3 Months
University of Maryland, College Park
Cómo manejar datos faltantes
Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R Programming
Mixed · Course · 1 - 3 Months
Status: Free Trial
Packt
Foundations of Deep Learning and Neural Networks
Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Machine Learning Methods, Network Architecture, Linear Algebra, Probability Distribution
Intermediate · Course · 1 - 3 Months
Status: Free Trial
American Psychological Association
How to Create and Explore a Data Set
Skills you'll gain: Data Visualization, Plot (Graphics), Histogram, Data Analysis, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Data Literacy, Descriptive Statistics, Statistics, Probability & Statistics, Data Management, Research, Psychology
Beginner · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Data Science Decisions in Time:Sequential Hypothesis Testing
Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Data-Driven Decision-Making, Computational Thinking, Machine Learning Methods, Statistical Hypothesis Testing, Medical Science and Research, A/B Testing, Statistical Methods, Computer Vision, Algorithms, Magnetic Resonance Imaging, Program Development, Probability Distribution, Medical Imaging
Intermediate · Course · 1 - 3 Months
Packt
Certified Six Sigma Yellow Belt Training
Skills you'll gain: Root Cause Analysis, Six Sigma Methodology, Lean Six Sigma, Statistical Process Controls, Minitab, Waste Minimization, Data-Driven Decision-Making, Kaizen Methodology, Process Improvement, Solution Design, Project Management, Process Analysis, Lean Manufacturing, Data Collection, Pareto Chart, Process Mapping, Sampling (Statistics), Brainstorming, Customer Insights
Beginner · Course · 3 - 6 Months
Status: New
Status: Free Trial
American Psychological Association
t-Tests of Hypotheses About Means
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Probability Distribution, Data Analysis, Research Design, Psychology
Beginner · Course · 1 - 3 Months
Status: Free Trial
American Psychological Association
Measures of Variability
Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Plot (Graphics), Graphing, Statistical Visualization, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills
Beginner · Course · 1 - 3 Months