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.

Universidad de los Andes
Skills you'll gain: Supervised Learning, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms, Anomaly Detection, Artificial Intelligence, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Responsible AI, Embedded Systems, Natural Language Processing, Linear Algebra, Computer Vision, Autoencoders, Image Analysis, Model Evaluation, Applied Machine Learning, Probability
Credit offered
Mastertrack · 6 - 12 Months

University of London
Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning
Earn a degree
Degree · 1 - 4 Years

Universidad de los Andes
Skills you'll gain: Real-Time Operating Systems, Semantic Web, Supervised Learning, LangChain, Unsupervised Learning, Reinforcement Learning, Cloud-Native Computing, Computer Vision, Natural Language Processing, Classification Algorithms, Site Reliability Engineering, Biomedical Engineering, Artificial Intelligence, Project Risk Management, Generative AI, Model Deployment, Probability & Statistics, Control Systems, Data Ethics, Generative Adversarial Networks (GANs)
Earn a degree
Degree · 1 - 4 Years

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

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