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.

Fundação Instituto de Administração
Skills you'll gain: Quantitative Research, Qualitative Research, Marketing Analytics, Market Analysis, Market Research, Survey Creation, Exploratory Data Analysis, Marketing Strategies, Sampling (Statistics), Strategic Marketing, Market Data, Data-Driven Marketing, Marketing, Marketing Management, Data Collection, Market Intelligence, Business Research, Forecasting, Marketing Strategy and Techniques, Analysis
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Machine Learning Methods, Classification Algorithms, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Applied Mathematics, Dimensionality Reduction, Statistics
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Interviewing Skills, Data Presentation, Data Mapping, Data Ethics
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning
Mixed · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Generative AI, Generative Model Architectures, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Model Optimization, Bayesian Network, Machine Learning Methods, Natural Language Processing, Model Training, Probability & Statistics, Probability Distribution
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, R (Software), Probability & Statistics, Descriptive Statistics, Data Analysis, Data-Driven Decision-Making, Correlation Analysis, Data Validation, Simulations, Histogram, Box Plots
Beginner · Course · 1 - 3 Months

Skills you'll gain: SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Business Analytics, Statistical Programming, Data Analysis, Analysis, Estimation, Data Science, Probability & Statistics, Probability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Probability & Statistics, NumPy, Matplotlib, Statistics, Data Visualization, Applied Machine Learning, Statistical Hypothesis Testing, Python Programming, Pandas (Python Package), Seaborn, Machine Learning, Mathematics and Mathematical Modeling, Model Optimization, Applied Mathematics, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Science, Programming Principles, Probability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Open Source Technology, Package and Software Management, Linux, Ubuntu, Operating System Administration, Linux Administration, Linux Commands, Operating Systems, Unix, Command-Line Interface, File Systems, Linux Servers, Unix Commands, Network Administration, Red Hat Enterprise Linux, Bash (Scripting Language), Application Deployment, Shell Script, IT Automation, Web Applications
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Statistical Programming, Histogram, Statistical Analysis, Database Application, Database Software, Integrated Development Environments, Python Programming
Beginner · Specialization · 3 - 6 Months

EDUCBA
Skills you'll gain: Multi-Cloud, Cloud Computing Architecture, Cloud Deployment, Cloud Computing, Cloud Services, Terraform, Kubernetes, Cloud Infrastructure, Application Deployment, Cloud Platforms, Cloud Technologies, Containerization, Cloud Storage, Hybrid Cloud Computing, Microsoft Azure, Infrastructure as Code (IaC), Amazon Web Services, Threat Modeling
Beginner · Course · 1 - 4 Weeks