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

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Explore the Probability Course Catalog

Institut Mines-Télécom
Traitement d'images : introduction au filtrage
Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Python Programming, Computer Programming, Medical Imaging, Mathematical Theory & Analysis, Plot (Graphics), Applied Mathematics, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Logistic Regression and Prediction for Health Data
Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Statistical Modeling, Classification And Regression Tree (CART), Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Risk Analysis, Descriptive Statistics
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Data Processing and Manipulation
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Processing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis, Statistical Methods
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
Johns Hopkins University
Introduction to Neural Networks
Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics
Intermediate · Course · 1 - 3 Months
Coursera Instructor Network
OpenAI: Consistent Response Strategies
Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, Generative AI, Technical Communication, Sampling (Statistics), Natural Language Processing, Performance Tuning
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
R을 사용한 확률 및 데이터 소개
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months
University of Maryland, College Park
Cómo combinar y analizar datos complejos
Skills you'll gain: Data Integration, Data Synthesis, Data Ethics, R Programming, Statistical Software, Analytical Skills, Data Analysis Software, Statistical Methods, Statistical Programming, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Probability & Statistics, Descriptive Statistics, Information Privacy
Mixed · Course · 1 - 4 Weeks
University of Michigan
파이썬의 응용 소셜 네트워크 분석
Skills you'll gain: Network Analysis, Graph Theory, Predictive Analytics, Telecommunications, Pandas (Python Package), Matplotlib, Algorithms, Probability & Statistics, Data Manipulation
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Preparing and Aggregating Data for Visualizations using Cloud Dataprep
Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Sampling (Statistics)
Beginner · Project · Less Than 2 Hours
Status: Free Trial
American Psychological Association
Data Exploration in Psychology
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Data Visualization, Statistical Analysis, Statistical Methods, Plot (Graphics), Descriptive Statistics, Histogram, Data Analysis, Box Plots, Exploratory Data Analysis, Analysis, Graphing, Data Visualization Software, Probability & Statistics, Quantitative Research, Statistical Visualization, Statistics, Data Literacy
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Analysis and Interpretation of Large-Scale Programs
Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, Maternal Health, Data Quality, Research Design
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Household Surveys for Program Evaluation in LMICs
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Ethics
Intermediate · Course · 1 - 3 Months

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

Traitement d'images : introduction au filtrage: Institut Mines-Télécom
Logistic Regression and Prediction for Health Data: University of Michigan
Data Processing and Manipulation: University of Colorado Boulder
Introduction to Neural Networks: Johns Hopkins University
OpenAI: Consistent Response Strategies: Coursera Instructor Network
R을 사용한 확률 및 데이터 소개: Duke University
Cómo combinar y analizar datos complejos: University of Maryland, College Park
파이썬의 응용 소셜 네트워크 분석: University of Michigan
Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
Data Exploration in Psychology: American Psychological Association

Probability Courses Online