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: 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: Data Literacy, Data Visualization, Data Analysis, Research Design, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Theoretical Computer Science, Probability Distribution, Artificial Intelligence
Coursera
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference
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 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 TrialJohns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Data Literacy, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Structures
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
Status: Free TrialImperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Probability, Data Manipulation, Histogram
Status: Free TrialDeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), Large Language Modeling, Spreadsheet Software
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In summary, here are 10 of our most popular probability distribution courses
- Hypothesis Testing with Python and Excel: Tufts University
- Data – What It Is, What We Can Do With It: Johns Hopkins University
- Statistical Estimation for Data Science and AI: University of Colorado Boulder
- Statistics For Data Science: Coursera
- Regression and Classification: University of Colorado Boulder
- Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
- Mathematical Biostatistics Boot Camp 1: Johns Hopkins University
- Statistics and Data Analysis with R: University of Colorado Boulder
- Basic Statistics in Python (Correlations and T-tests): Coursera
- Probabilistic Deep Learning with TensorFlow 2: Imperial College London
