Probability Distribution Courses
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.
Popular Probability Distribution Courses and Certifications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Statistical Analysis, Model Evaluation, Regression Analysis, Predictive Modeling, R Programming, Machine Learning, Classification Algorithms, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms
Status: Free TrialIllinois Tech
Skills you'll gain: Statistical Analysis, Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Model Evaluation, Regression Analysis, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Feature Engineering, Logistic Regression, Decision Tree Learning, Classification Algorithms
Status: PreviewTufts University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Statistics, Business Analytics, Python Programming, Technical Communication
Status: Free TrialJohns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
Status: Free TrialSkills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making
Status: NewStatus: Free TrialSkills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics
Status: Free TrialAmerican Psychological Association
Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Exploratory Data Analysis, Graphing, Variance Analysis, Statistical Visualization, Statistical Analysis, Data Analysis, Analytical Skills
Skills you'll gain: Exploratory Data Analysis, Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Manipulation, Pandas (Python Package), Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Python Programming
In summary, here are 10 of our most popular probability distribution courses
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Engineering Probability and Statistics Part 2: Northeastern University
- Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
- Regression and Classification: University of Colorado Boulder
- Statistical Learning: Illinois Tech
- Hypothesis Testing with Python and Excel: Tufts University
- Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
- Business Applications of Hypothesis Testing and Confidence Interval Estimation : Rice University
- Seaborn Python: Visualize & Analyze Data Distributions: EDUCBA
