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: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Statistical Methods, Model Training, Verification And Validation, Plot (Graphics), Performance Metric
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
★ 4.8 (37) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: SAS (Software), Model Deployment, Model Evaluation, Predictive Analytics, Predictive Modeling, Advanced Analytics, Regression Analysis, Statistical Modeling, Business Analytics, Data Preprocessing, Data-Driven Decision-Making, Data Mining, Feature Engineering, Model Training, Statistical Methods, Statistical Analysis, Decision Tree Learning, Data Transformation, Model Optimization, Artificial Neural Networks
Mixed · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Data Analysis, Logistic Regression, Exploratory Data Analysis, Dependency Analysis, Python Programming, Data Visualization Software
★ 4.4 (718) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Supervised Learning, Predictive Modeling, Risk Modeling, Financial Data, Predictive Analytics, Statistical Machine Learning, Applied Machine Learning, Workflow Management, Data Validation, Machine Learning Methods, Data Preprocessing, Data Ethics, Model Evaluation, Process Driven Development, Model Training, Business Reporting, Responsible AI, Performance Reporting
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Model Training, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Performance Metric, Machine Learning Algorithms, Regression Analysis, Continuous Monitoring, Statistical Methods
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Encryption, Cryptography, Machine Learning Methods, Classification Algorithms, Model Training, Probability Distribution, Machine Learning Algorithms, Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Glasgow
Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Natural Language Processing, Responsible AI, Embeddings, Data Ethics, Model Evaluation, Model Training, Risk Management Framework
★ 4.4 (34) · Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Statistical Software, Regression Analysis, Statistical Analysis, Model Evaluation, Predictive Modeling, Statistical Methods, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Evaluation, Prompt Engineering, Model Optimization, Cloud Deployment, LLM Application, Retrieval-Augmented Generation, Large Language Modeling
★ 4.8 (8) · Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Prompt Engineering, Retrieval-Augmented Generation, Model Optimization, Transfer Learning, Data Preprocessing
★ 4.6 (626) · Intermediate · Project · Less Than 2 Hours