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: Free Trial
Fundação Instituto de Administração
Riscos Financeiros (Crédito, Mercado e Liquidez)
Skills you'll gain: Portfolio Management, Credit Risk, Risk Management, Financial Market, Investments, Market Liquidity, Risk Analysis, Financial Analysis, Capital Markets, Performance Measurement, Probability & Statistics
4.9
Rating, 4.9 out of 5 stars
7 reviews
Beginner · Course · 1 - 4 Weeks
University of Michigan
파이썬의 데이터 과학 소개
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
University of Michigan
Design Strategies for Maximizing Total Data Quality
Skills you'll gain: Data Quality, Data Integrity, Data Validation, Quality Assurance, Data Collection, Data Processing, Data Analysis, Data Access, Sampling (Statistics), Statistical Methods
5
Rating, 5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
RStudio for Six Sigma - Process Capability
Skills you'll gain: Process Capability, Six Sigma Methodology, Statistical Process Controls, Process Analysis, Statistical Analysis, Probability & Statistics, Statistical Methods, Business Metrics, R Programming, Data Import/Export
4.1
Rating, 4.1 out of 5 stars
7 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
SkillUp EdTech
Data Collection and Root Cause Analysis
Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 4 Weeks
Sungkyunkwan University
Recommender Systems
Skills you'll gain: Scalability, Deep Learning, Applied Machine Learning, AI Personalization, Data Mining, Unsupervised Learning, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Algorithms, Artificial Neural Networks, Analysis
Intermediate · Course · 1 - 4 Weeks
Status: New
Simplilearn
Data Analytics with Python
Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Scripting Languages, Data Cleansing
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Universidad Nacional Autónoma de México
Evolución: Teoría sintética
Skills you'll gain: Biology, Life Sciences, World History, Social Studies, Deductive Reasoning, Mathematical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Muestreo de personas, redes y registros
Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Statistical Methods, Quantitative Research, Statistics, Probability & Statistics, Research Design, Statistical Software, Network Analysis
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Linear Regression Modeling for Health Data
Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Methods, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Data Augmented Technology Assisted Medical Decision Making
Skills you'll gain: Healthcare Ethics, Statistical Methods, Health Care Procedure and Regulation, Patient Evaluation, Clinical Research, Data Ethics, Probability & Statistics, Health Technology, Health Informatics, Health Policy, Medical Equipment and Technology, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks
École Polytechnique Fédérale de Lausanne
Geographical Information Systems - Part 2
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Sampling (Statistics)
Beginner · Course · 1 - 3 Months