Probabilistic Graphical Models courses can help you learn Bayesian networks, Markov random fields, and inference algorithms. You can build skills in modeling uncertainty, reasoning under uncertainty, and making predictions based on incomplete data. Many courses introduce tools like TensorFlow Probability and PyMC3, which are used for implementing these models and performing complex calculations, enabling you to apply your knowledge to real-world data analysis and machine learning tasks.

University of Pennsylvania
Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Predictive Modeling, Simulation and Simulation Software, Operations Research, Probability Distribution, Data-Driven Decision-Making, Statistical Hypothesis Testing, Statistical Analysis, Microsoft Excel, Excel Formulas
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms
Intermediate · Project · Less Than 2 Hours

Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Inference, Data Analysis, Statistical Modeling, Statistical Analysis, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Generative AI, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Predictive Modeling, Statistical Methods, Statistical Hypothesis Testing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, AI Personalization, Network Model
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine
Intermediate · Guided Project · Less Than 2 Hours

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Presentation, Data Visualization, Tableau Software, Matplotlib, Geospatial Information and Technology, Spatial Analysis, Geospatial Mapping, Visualization (Computer Graphics), Seaborn, Infographics, Heat Maps, Data Ethics, Text Mining, Data Mapping, Network Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months