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 Illinois Urbana-Champaign
Skills you'll gain: Lean Six Sigma, Performance Improvement, Statistical Process Controls, Operational Analysis, Process Improvement, Statistical Methods, Continuous Improvement Process, Innovation, Operations Management, Probability & Statistics, Problem Solving
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Ball State University
Skills you'll gain: Cryptography, Application Security, Encryption, Authentications, Cybersecurity, Data Encryption Standard, Advanced Encryption Standard (AES), Email Security, Network Security, Information Systems Security, Key Management, Application Development, Public Key Infrastructure, Data Integrity
Build toward a degree
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Program Evaluation, Data Management, Data Collection, Data Analysis, Data Cleansing, Quantitative Research, Data Quality, Research Design, Sample Size Determination, Data Ethics
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Pivot Tables And Charts, Data Manipulation, Data Transformation, Data Preprocessing, Data Warehousing, Data Cleansing, Dimensionality Reduction, Data Quality, Anomaly Detection, Feature Engineering, Sampling (Statistics), Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Canva (Software), Social Media Campaigns, Instagram, Social Media Marketing, Social Media Content, Social Media Strategy, Content Creation, ChatGPT, Brand Management, Digital Content, AI Enablement, Data Import/Export
Intermediate · Guided Project · Less Than 2 Hours

EDUCBA
Skills you'll gain: Multi-Cloud, Cloud Computing Architecture, Cloud Deployment, Cloud Computing, Terraform, Kubernetes, Cloud Infrastructure, Containerization, Cloud Storage, Hybrid Cloud Computing, Microsoft Azure, Infrastructure as Code (IaC), Amazon Web Services, Threat Modeling
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Social Media Content, Social Media Management, Content Creation, Social Media Marketing, Social Media, Social Media Campaigns, Social Media Strategy, Content Marketing, Content Management
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Project Management Software, Project Planning, Timelines, Project Management, Workflow Management, Organizational Skills, Collaborative Software, Team Management, Prioritization
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
Mixed · Course · 1 - 3 Months