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.

Google Cloud
Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Model Deployment, Predictive Modeling, Financial Forecasting, Finance
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Advanced · Course · 1 - 4 Weeks

Columbia University
Skills you'll gain: Derivatives, Credit Risk, Financial Market, Portfolio Risk, Capital Markets, Risk Analysis, Risk Management, Market Dynamics, Portfolio Management, Financial Modeling, Operations Research, Mathematical Modeling, Probability Distribution, Applied Mathematics, Computer Programming
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Predictive Modeling, Regression Analysis, Advanced Analytics, Statistical Modeling, Classification Algorithms, Predictive Analytics, Logistic Regression, Data Analysis, Applied Machine Learning, Data-Driven Decision-Making, Business Analysis, Machine Learning Methods, Performance Metric
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: HVAC, Building Services Engineering, Architectural Engineering, Building Design, Energy and Utilities, Climate Change Mitigation, Mechanical Engineering, Civil and Architectural Engineering, Construction, Architecture and Construction, Architectural Design, Design Strategies
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Descriptive Analytics, SPSS, Logistic Regression, SPSS (Software), Regression Analysis, Correlation Analysis, Data Analysis, Statistical Modeling, Exploratory Data Analysis, Data Storytelling, Statistical Analysis, Predictive Modeling, Statistical Visualization, Scatter Plots, Probability & Statistics, Data Preprocessing, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Data Analysis, Descriptive Statistics, Box Plots, Statistics, Statistical Analysis, Probability & Statistics, Data Visualization Software, Exploratory Data Analysis, Histogram, R Programming, Scatter Plots, Data-Driven Decision-Making, Microsoft Excel
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Process Capability, Sampling (Statistics), R (Software), Correlation Analysis, Statistical Inference, Probability Distribution, Statistical Visualization, R Programming, Statistical Process Controls, Statistical Hypothesis Testing, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Data Analysis Software, Probability, Descriptive Statistics, Quality Improvement, Process Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Logical Operations
Skills you'll gain: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Intermediate · Course · 1 - 3 Months