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.

Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation
Intermediate · Course · 1 - 3 Months

Queen Mary University of London
Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Collection, Quantitative Research, Research Methodologies, Data Preprocessing, Probability & Statistics, Descriptive Statistics, Data Literacy
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Scientific Methods, Research Methodologies, Research, Research Design, Deductive Reasoning, Peer Review, Media and Communications, Correlation Analysis, Statistical Analysis, Probability & Statistics, Cultural Diversity, Descriptive Statistics, Communication
Beginner · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

École normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Graph Theory, Computational Thinking, Mathematical Modeling, Probability
Mixed · Course · 1 - 3 Months

Coursera
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Preprocessing, Data Analysis, Classification Algorithms, Python Programming, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

University at Buffalo
Skills you'll gain: Energy and Utilities, Workforce Development, Sustainable Development, Sustainable Technologies, Electric Power Systems, Environment and Resource Management, Environmental Science, Innovation, Emerging Technologies, Market Dynamics, Climate Change Mitigation, Operational Efficiency
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Biology, Life Sciences, Course Development, Environment, World History, Cell Biology, European History, Taxonomy, Specimen Collection, Mathematical Modeling, Scientific Methods, Probability & Statistics
Beginner · Specialization · 1 - 3 Months

University of Colorado System
Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Data Quality, Statistical Modeling, Probability & Statistics, Molecular Biology, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Data Validation, Biology
Intermediate · Course · 1 - 3 Months

L&T EduTech
Skills you'll gain: Oil and Gas, Petroleum Industry, Hazard Analysis, Safety Standards, Environmental Resource Management, Energy and Utilities, Environmental Regulations, Environment Health And Safety, Big Data, Plant Operations and Management, Waste Minimization, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Management, Pump Stations, Data Processing, Electric Power Systems
Advanced · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks