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.

Skills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Integration, Advanced Analytics, Debugging, Statistical Programming, SQL, Statistical Methods, Report Writing, Data Manipulation, Model Evaluation, Data Analysis, Statistical Reporting, Data Access, Microsoft Excel, Analysis, Finance
Beginner · Specialization · 3 - 6 Months

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Statistical Visualization, Model Evaluation, Data Presentation, Statistical Hypothesis Testing, Statistical Analysis, Data Storytelling, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Jupyter, Probability & Statistics, Experimentation, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Risk Modeling, Banking, Financial Analysis, Risk Analysis, Financial Statement Analysis, Financial Systems, Finance, Financial Regulations, Bankruptcies, Loans, Balance Sheet, Cash Flows, Analytical Skills
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), SAS (Software), Data Integration, Statistical Programming, Statistical Methods, Data Manipulation, Data Processing, Data Management, SQL, Data Transformation, Data Governance, Transaction Processing, Version Control, Data Structures, File Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unity Engine, Integrated Development Environments, Event-Driven Programming, Software Development Tools, User Interface (UI), Graphical Tools, Scripting, Software Design, Package and Software Management, Object Oriented Design, C# (Programming Language), Version Control
Mixed · Course · 1 - 3 Months

Skills you'll gain: Red Hat Enterprise Linux, Package and Software Management, Network Administration, Cloud Deployment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Cybersecurity, Computer Security Awareness Training, Security Awareness, Cyber Security Strategy, Zero Trust Network Access, Information Systems Security, Threat Detection, Data Security, Human Factors (Security), Security Engineering, Personally Identifiable Information, Security Controls, Safety and Security, Security Strategy, Cultural Responsiveness, Information Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Brand Strategy, Business Risk Management, Risk Management, Emotional Intelligence, Leadership Development, Lifelong Learning, Creative Thinking, Leadership, Innovation, Decisiveness, Growth Mindedness, Business Transformation, Adaptability, Self-Awareness, Storytelling, Empathy & Emotional Intelligence, Executive Presence, Change Management, Decision Making
Beginner · Course · 1 - 3 Months
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Recurrent Neural Networks (RNNs), Large Language Modeling, Natural Language Processing, Hugging Face, PyTorch (Machine Learning Library), Transfer Learning, Artificial Neural Networks, Machine Learning Methods, Embeddings, Deep Learning, Applied Machine Learning
Mixed · Course · 1 - 3 Months