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.

University of Lausanne
Skills you'll gain: Statistical Methods, Criminal Investigation and Forensics, Court Systems, Report Writing, Probability & Statistics, Technical Communication, Scientific Methods, Analysis, Case Studies, Ethical Standards And Conduct
Beginner · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Emerging Technologies, Forecasting, Critical Thinking, Augmented and Virtual Reality (AR/VR), Strategic Thinking, Technology Strategies, Strategic Leadership, AI Enablement, Business Transformation, Data-Driven Decision-Making, Systems Thinking, Innovation, Storytelling, Thought Leadership, Scenario Testing, Decision Making, Artificial Intelligence, Virtual Reality, Probability & Statistics
Build toward a degree
Beginner · Course · 1 - 4 Weeks

MedCerts
Skills you'll gain: Pharmacy Experience, Pharmacology, Pharmacist Assistance, Pharmacy Information System, Medical Prescription, Pharmacy Operations, Pharmacy, Medication Dispensation, Drug Development, Medication Administration, Pharmaceutical Terminology, Medical Terminology
Beginner · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Model Evaluation, Unsupervised Learning, Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Analytics, Anomaly Detection, Fraud detection, Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Classification Algorithms, Collaborative Software
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Hugging Face, Deep Learning, Large Language Modeling, Transfer Learning, Convolutional Neural Networks, Text Mining, Semantic Web, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Python Programming, Cryptography, Classification Algorithms, Probability Distribution, Machine Learning Algorithms, Data Processing, Algorithms
Intermediate · Specialization · 3 - 6 Months

Illinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

École normale supérieure
Skills you'll gain: Theoretical Computer Science, Combinatorics, Algorithms, Advanced Mathematics, Linear Algebra, Mathematical Modeling, Probability
Mixed · Course · 1 - 4 Weeks

S.P. Jain Institute of Management and Research
Skills you'll gain: Product Strategy, Marketing Management, Target Market, Consumer Behaviour, Product Lifecycle Management, Strategic Marketing, Brand Strategy, Marketing Strategies, Marketing Communications, Market Share, Integrated Marketing Communications, Marketing Channel, Competitive Analysis
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking
Intermediate · Specialization · 3 - 6 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science
Beginner · Guided Project · Less Than 2 Hours