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: 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: New
Status: Free Trial
Edureka
Predictive Modeling with Python
Skills you'll gain: Probability Distribution, Predictive Modeling, Exploratory Data Analysis, Statistical Inference, Data Analysis, Statistical Analysis, Probability & Statistics, Statistical Hypothesis Testing, Descriptive Statistics, Data Cleansing, Data Validation, Regression Analysis, Feature Engineering, Data Processing, Machine Learning
Intermediate · Course · 1 - 3 Months
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
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
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
Status: Free Trial
Johns Hopkins University
Quantifying Relationships with Regression Models
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics
4.7
Rating, 4.7 out of 5 stars
21 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Statistical Learning for Data Science
Skills you'll gain: Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Regression Analysis, Classification And Regression Tree (CART), Statistical Methods, Decision Tree Learning, Data Science, Predictive Modeling, Statistical Analysis, Artificial Neural Networks, R Programming, Supervised Learning, Probability & Statistics, Advanced Analytics, Dimensionality Reduction, Random Forest Algorithm, Machine Learning, Sampling (Statistics)
Build toward a degree
4
Rating, 4 out of 5 stars
17 reviews
Intermediate · Specialization · 3 - 6 Months
Ball State University
Introduction to Data Science
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Literacy, Sampling (Statistics), Data Science, R Programming, Data Structures, Data Integrity, Information Privacy, Tidyverse (R Package), Data Manipulation, Ggplot2, Ethical Standards And Conduct
Build toward a degree
Beginner · Course · 1 - 3 Months
Status: Free Trial
Illinois Tech
Linear Regression
Skills you'll gain: Regression Analysis, R Programming, Statistical Inference, Data Analysis, Statistical Analysis, Predictive Modeling, Probability & Statistics, Linear Algebra
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
23 reviews
Intermediate · Course · 1 - 4 Weeks
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
University of Colorado Boulder
Data Driven Decision Making
Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization, R Programming, Statistical Inference, Variance Analysis, Sampling (Statistics)
Build toward a degree
4.9
Rating, 4.9 out of 5 stars
27 reviews
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