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.
CertNexus
Skills you'll gain: Data Analysis, Data Preprocessing, Data Visualization, Statistical Analysis, Exploratory Data Analysis, Business Analytics, Data Visualization Software, Probability & Statistics, Descriptive Statistics, Data Cleansing, Histogram, Scatter Plots, Feature Engineering
Intermediate · Course · 1 - 3 Months

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

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Peking University
Skills you'll gain: Statistical Hypothesis Testing, SPSS, SPSS (Software), Statistical Methods, Descriptive Statistics, Statistical Analysis, Regression Analysis, Probability & Statistics, Biostatistics, Correlation Analysis, Statistical Inference, Sampling (Statistics), Data Analysis Software, Data Manipulation
Mixed · Course · 1 - 3 Months

McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Intermediate · Course · 1 - 3 Months

The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic
Intermediate · Course · 1 - 4 Weeks

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

University of Michigan
Skills you'll gain: Surveys, User Research, Survey Creation, Sampling (Statistics), A/B Testing, Web Analytics, Qualitative Research, Usability Testing, Research Methodologies, Web Analytics and SEO, Data Collection, Research Design, Sample Size Determination, Analytics, Data Analysis
Beginner · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Data Ethics, Informed Consent, Information Privacy, Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Responsible AI, Intellectual Property, Data Analysis, Social Studies, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

Technical University of Munich (TUM)
Skills you'll gain: Consumer Behaviour, Market Research, Food Quality Assurance And Control, Food and Beverage, Research Methodologies, Packaging and Labeling, Product Knowledge, Sustainability Standards, Innovation, Global Marketing, Supply And Demand, Corporate Sustainability, Economics, Coordination
Intermediate · Course · 3 - 6 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Convolutional Neural Networks, Deep Learning, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

New York Institute of Finance
Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Markov Model, Portfolio Risk, Financial Market, Time Series Analysis and Forecasting, Risk Management
Intermediate · Course · 1 - 4 Weeks