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 TrialUniversity of California San Diego
Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Natural Language Processing
Status: Free TrialSkills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Scientific Visualization, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter
Status: Free TrialUniversity of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Statistical Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Data Analysis, Statistical Methods, Probability Distribution, Correlation Analysis, Statistical Inference, Sampling (Statistics), Large Language Modeling, LLM Application
Status: PreviewEindhoven University of Technology
Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistics, Regression Analysis, Probability, Statistical Hypothesis Testing, Probability Distribution, Statistical Analysis, Statistical Inference, Sampling (Statistics), Combinatorics
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Python Programming
Status: PreviewÉcole Polytechnique
Skills you'll gain: Probability, Simulations, Advanced Mathematics, Probability & Statistics, Probability Distribution, Statistical Methods, Mathematical Theory & Analysis, Sampling (Statistics), Mathematical Modeling, Statistical Inference, Calculus
Status: NewStatus: PreviewNational Taiwan University
Skills you'll gain: Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Business Analytics, Data Analysis, Statistics, Statistical Methods, Feature Engineering, Statistical Inference, Data Transformation
Status: Free TrialStanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming
Searches related to probability distribution
In summary, here are 10 of our most popular probability distribution courses
- Combinatorics and Probability: University of California San Diego
- Probabilistic Graphical Models 1: Representation: Stanford University
- Statistics for Data Science with Python: IBM
- Inferential Statistics: University of Amsterdam
- Applied Statistics for Data Analytics: DeepLearning.AI
- Improving your statistical inferences: Eindhoven University of Technology
- What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
- Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
- Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
- 商管統計資料分析一 (Analytics for Business and Management (I)): National Taiwan University
