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.

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 · Course · 1 - 4 Weeks

Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment
Beginner · Course · 3 - 6 Months

Skills you'll gain: Natural Language Processing, Text Mining, Data Manipulation, Unstructured Data, Markov Model, Data Preprocessing, Python Programming, Applied Machine Learning, Feature Engineering, Algorithms, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Codio
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
Mixed · Course · 1 - 3 Months
Skills you'll gain: Package and Software Management, Platform As A Service (PaaS), Virtual Environment, Dependency Analysis, Python Programming, Application Deployment
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Quality Management, Statistical Analysis, Regression Analysis, Probability & Statistics, Microsoft Excel, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

L&T EduTech
Skills you'll gain: Control Systems, Electric Power Systems, Electrical Power, Three-Phase, High Voltage, Simulation and Simulation Software, Engineering Analysis, Low Voltage, Simulations, Power Electronics, Electrical Engineering, Systems Analysis, Mathematical Modeling, Differential Equations
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Data Visualization, Data Wrangling, Data Manipulation, Correlation Analysis, Histogram, Data Analysis, Statistical Analysis, Biostatistics, Statistics, Scripting, Statistical Hypothesis Testing, Package and Software Management, Data Import/Export
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
Beginner · Course · 1 - 4 Weeks

KodeKloud
Skills you'll gain: Ansible, YAML, IT Automation, Infrastructure as Code (IaC), Devops Tools, Shell Script, Configuration Management, Virtual Machines
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: R Programming, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Statistical Programming, Data Science, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Research Design, Model Evaluation, Data Transformation, Statistical Analysis, Data Modeling, Statistical Methods
Beginner · Course · 1 - 4 Weeks