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.

Sungkyunkwan University
Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Performance Analysis, R Programming, Time Series Analysis and Forecasting, Risk Analysis, Financial Analysis, Financial Modeling, Financial Data, Statistical Programming, Regression Analysis, Data Manipulation, Data Visualization
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Credit Risk, Financial Analysis, Financial Statement Analysis, Financial Modeling, Cash Flows, Lending and Underwriting, Portfolio Risk, Financial Management, Investments, Risk Analysis, Corporate Finance, Market Data, Return On Investment, Business Valuation, Data Modeling, Case Studies, Excel Formulas, Business Analytics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Project Management Software, Project Planning, Timelines, Project Management, Workflow Management, Organizational Skills, Collaborative Software, Team Management, Prioritization
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Methods, Sample Size Determination, Data Preprocessing, Record Keeping
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Game Theory, Mathematical Modeling, Political Sciences, Combinatorics, Social Sciences, Probability, Applied Mathematics, Critical Thinking, General Mathematics, Statistical Analysis
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Network Troubleshooting, Microsoft Azure, Virtual Networking, Virtual Machines, Load Balancing, Cloud Infrastructure, System Configuration, Cloud Security, Cloud Storage, Data Security, Scalability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making
Mixed · Course · 1 - 3 Months