Probability distribution courses can help you learn about normal, binomial, and Poisson distributions, as well as their applications in statistics and data analysis. You can build skills in interpreting data, calculating probabilities, and making informed predictions based on statistical models. Many courses introduce tools like R, Python, and Excel, that support visualizing distributions and performing simulations, helping you apply these concepts in practical scenarios such as risk assessment and decision-making.

Universidad Austral
Skills you'll gain: Financial Modeling, Time Series Analysis and Forecasting, Regression Analysis, Financial Forecasting, Predictive Modeling, Forecasting, Finance, R Programming, Financial Analysis, Statistical Analysis, Statistics, Probability & Statistics, Risk Analysis, Microsoft Excel
Beginner Ā· Course Ā· 1 - 4 Weeks
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation
Beginner Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization, Data Analysis, Python Programming
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Marketing Automation, Application Programming Interface (API), Google Sheets, Calendar Management, ChatGPT, Content Creation, Digital Marketing, Prompt Engineering, Automation, Content Strategy, Brand Management, Project Management
Intermediate Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Presentations, Prompt Engineering, Responsible AI, Verbal Communication Skills, Sampling (Statistics), Excel Formulas, Data Storytelling, Spreadsheet Software, Generative AI, Data Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Credit Risk, Derivatives, Finance, Case Studies, Financial Analysis, Risk Analysis, Financial Modeling, Portfolio Risk, Financial Market, Risk Management, Capital Markets, Mathematical Modeling, Probability
Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning
Beginner Ā· Course Ā· 1 - 4 Weeks

American Psychological Association
Skills you'll gain: Sample Size Determination, Statistical Hypothesis Testing, Statistical Methods, Quantitative Research, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistics, Data Analysis, Regression Analysis, Research Design, Research, Psychology
Beginner Ā· Course Ā· 1 - 3 Months

Johns Hopkins University
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, Regression Analysis, Maternal Health, Data Quality
Intermediate Ā· Course Ā· 1 - 3 Months

L&T EduTech
Skills you'll gain: Building Codes, Engineering Analysis, Engineering Calculations, Structural Engineering, Simulation and Simulation Software, Finite Element Methods, Construction Engineering, Civil Engineering, Engineering Practices, Structural Analysis, Construction, Engineering Design Process
Intermediate Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Debugging, Data Analysis, Simulations, Programming Principles, Integrated Development Environments, Data Import/Export, Data Structures, Data Manipulation, Computer Programming, Performance Tuning, Software Installation
Intermediate Ā· Course Ā· 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics
Build toward a degree
Intermediate Ā· Course Ā· 1 - 4 Weeks