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.

Skills you'll gain: Logistic Regression, Model Evaluation, Data Preprocessing, Model Optimization, Predictive Modeling, R Programming, Feature Engineering, Risk Modeling, Applied Machine Learning, Regression Analysis, Predictive Analytics, Machine Learning Methods, Financial Modeling, Machine Learning, Supervised Learning, Credit Risk, Analytics, Performance Metric, Dimensionality Reduction, Data Science
Mixed · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Programming, Statistical Analysis, Probability & Statistics, Regression Analysis, Data Analysis, R Programming, Statistical Software, Probability, Analysis, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution
★ 3.8 (801) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, LLM Application, LangChain, Artificial Intelligence and Machine Learning (AI/ML), Agentic Workflows, Generative AI Agents, AI Integrations, Artificial Intelligence, Large Language Modeling, Taxonomy, Agentic systems, Scalability, Python Programming, System Design and Implementation, Machine Learning, Graph Theory
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization
Mixed · Course · 1 - 3 Months

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

Arizona State University
Skills you'll gain: Statistics, Probability & Statistics, Analytics, Exploratory Data Analysis, Estimation, Logistic Regression
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Deep Learning, Algorithms, Data Cleansing, Probability & Statistics
★ 4.7 (1.8K) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, Model Evaluation, Dashboard Creation, Dashboard, Image Quality, Embeddings, Image Analysis, Large Language Modeling, Data Visualization, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Statistical Software, Statistical Programming, Regression Analysis, Statistical Methods, Correlation Analysis, Mathematical Modeling, Statistical Inference, Model Evaluation, Probability Distribution
★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Data Science, Statistical Machine Learning, Statistical Methods, Statistical Software, Statistical Analysis, Mathematics and Mathematical Modeling, Computational Logic, Statistical Inference, Probability & Statistics, Machine Learning Methods, Computational Thinking
Intermediate · Course · 1 - 3 Months
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis
Intermediate · Course · 1 - 4 Weeks