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 Minnesota
Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Model Training, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Manipulation, Data Transformation, Feature Engineering, Statistical Modeling, Spreadsheet Software, Predictive Analytics, Model Optimization, Data Cleansing, Statistical Methods
★ 4.8 (144) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Bayesian Statistics, A/B Testing, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Methods, Data Analysis, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model, Diagnostic Tests, Probability Distribution, Sampling (Statistics)
★ 4.5 (27) · 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, Data-Driven Decision-Making, Predictive Modeling, Model Evaluation, Probability Distribution
★ 3.8 (798) · Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Large Language Modeling, Natural Language Processing, Generative Model Architectures, Transfer Learning
★ 4.1 (125) · Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Model Deployment, Model Optimization, Decision Tree Learning, Predictive Modeling, Model Evaluation, Model Training, Predictive Analytics, Machine Learning Methods, Random Forest Algorithm, Applied Machine Learning, Data-Driven Decision-Making, Performance Tuning, Feasibility Studies, Scikit Learn (Machine Learning Library), Data Visualization, Performance Analysis, Statistical Methods, Cost Benefit Analysis, Performance Measurement
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning, Data Preprocessing
★ 4.8 (31K) · Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Autoencoders, Model Evaluation, Deep Learning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning, Convolutional Neural Networks, Electocardiography, Artificial Neural Networks
★ 4.6 (15) · Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality
★ 4.7 (685) · Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution
Intermediate · Course · 1 - 3 Months

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), Regression Analysis, Statistical Methods, Data Analysis, Correlation Analysis, Model Evaluation, Probability Distribution
★ 4.3 (18) · Intermediate · Course · 1 - 3 Months

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

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks