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.

BITS Pilani
Skills you'll gain: Relational Databases, User Research, Probability & Statistics, Data Storytelling, Bash (Scripting Language), Graph Theory, Theoretical Computer Science, Object Oriented Design, Operating Systems, Android Development, Database Design, Encryption, Bioinformatics, Java Programming, Feature Engineering, Algorithms, TCP/IP, Version Control, Data Structures, Model View Controller
Earn a degree
Degree · 1 - 4 Years

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Model Evaluation, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Machine Learning, Natural Language Processing, Applied Machine Learning, Linear Algebra, Semantic Web, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning Algorithms, Statistical Machine Learning, Bayesian Statistics, Unstructured Data
Credit offered
Mastertrack · 6 - 12 Months
University of North Texas
Skills you'll gain: Operations Management, Mediation, Model Evaluation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Visualization, Marketing Planning, Design Thinking, Public Policies, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Music History, Sociology
Earn a degree
Degree · 1 - 4 Years

Dartmouth College
Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Embedded Systems, Embedded Software, Recurrent Neural Networks (RNNs), Digital Signal Processing, Distributed Computing, Probability & Statistics, Generative AI, Machine Learning, Deep Learning, Image Analysis, Convolutional Neural Networks, Hardware Design, Electronic Systems, Text Mining, Student Support and Services, Professional Development, Electrical and Computer Engineering
Earn a degree
Degree · 1 - 4 Years

École Polytechnique
Skills you'll gain: Advanced Mathematics, Differential Equations, Mathematical Theory & Analysis, Calculus, Applied Mathematics, Derivatives
Mixed · Course · 1 - 3 Months