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 Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistics, Bayesian Statistics, Statistical Software, Statistical Inference, Applied Mathematics, Python Programming, Machine Learning, Algorithms
★ 4.7 (6) · Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Probability & Statistics, Descriptive Statistics, Statistics, Data Literacy, Data Analysis, Statistical Methods, Statistical Modeling, Correlation Analysis, Statistical Analysis, Descriptive Analytics, Data Presentation, Statistical Visualization, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Graphing, Scatter Plots
★ 4.6 (1.7K) · Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
★ 4.6 (3.5K) · Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering, LLM Application, Generative AI
★ 4.5 (1.5K) · Beginner · Course · 1 - 4 Weeks

University of California, Santa Cruz
Skills you'll gain: R Programming, Statistical Programming, R (Software), Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Statistical Inference, Sampling (Statistics), Simulations, Probability Distribution, Classification Algorithms
★ 4.5 (63) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
★ 4.6 (694) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Fine-tuning, LLM Application, Model Training, Model Deployment, Python Programming, Scalability, Model Optimization, Machine Learning, Model Evaluation, Reinforcement Learning
★ 4.8 (3.6K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Optimization, Responsible AI
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Artificial Intelligence, Generative AI, Decision Intelligence, Machine Learning Algorithms, Mathematical Theory & Analysis
★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus
★ 4.6 (108) · Advanced · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Statistical Modeling, Model Training, Sampling (Statistics)
★ 4.7 (109) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Statistical Hypothesis Testing, Clinical Research, Clinical Data Management, Data Analysis, Analytics, Machine Learning Methods, Healthcare Ethics, Data Literacy, Health Informatics, Regression Analysis, Descriptive Analytics, Predictive Analytics, Machine Learning Software, Supervised Learning, Statistical Analysis, Data Analysis Software, Statistics, Statistical Machine Learning, Decision Tree Learning, Random Forest Algorithm
Intermediate · Course · 1 - 4 Weeks