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 TrialArizona State University
Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
Status: NewStatus: PreviewSkills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Data Analysis, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model
Status: Free TrialJohns Hopkins University
Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Data Analysis, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Forecasting, Data Science, Strategic Decision-Making, Statistical Methods, Anomaly Detection, Applied Machine Learning, Cybersecurity, Statistical Analysis
Status: PreviewEindhoven University of Technology
Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Machine Learning Algorithms, Mathematical Theory & Analysis
Status: NewStatus: PreviewSkills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Python Programming
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: NewStatus: PreviewNational Taiwan University
Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Inference, Scientific Methods, Quantitative Research, Public Health
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: NewStatus: Free TrialSkills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics
In summary, here are 10 of our most popular probability distribution courses
- Random Models, Nested and Split-plot Designs: Arizona State University
- Bayesian Statistics: Excel to Python A/B Testing: EDUCBA
- Data Science Decisions in Time: Johns Hopkins University
- Improving Your Statistical Questions: Eindhoven University of Technology
- Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
- SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Regression and Classification: University of Colorado Boulder
- 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
- Hypothesis Testing in Public Health : Johns Hopkins University
