Probabilistic Graphical Models Courses
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.
Popular Probabilistic Graphical Models Courses and Certifications
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistics, Statistical Modeling, Probability, Statistical Programming, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, R Programming, Regression Analysis, R (Software), Analytical Skills, Statistical Visualization, Predictive Modeling, Data Visualization, Data Modeling
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
Skills you'll gain: Predictive Modeling, Statistical Modeling, Statistical Machine Learning, Predictive Analytics, Statistical Methods, Data Analysis, Analytics, Applied Machine Learning, Business Analytics, Machine Learning Methods, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Python Programming, Data Manipulation, Pandas (Python Package), NumPy
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Data Science, Machine Learning Methods, Predictive Analytics, Applied Machine Learning, Analytics, Data Analysis, R Programming, Model Optimization, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning, Statistics, Graph Theory, Classification Algorithms, Network Analysis, Big Data
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, Statistical Software, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Predictive Modeling, Ggplot2, Statistical Programming
University of Colorado Boulder
Skills you'll gain: Statistical Modeling, R Programming, Statistical Analysis, Data Analysis, R (Software), Data Science, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Machine Learning, Logistic Regression, Probability & Statistics, Model Evaluation, Probability Distribution, Linear Algebra, Calculus
Skills you'll gain: Model Evaluation, Decision Tree Learning, Classification And Regression Tree (CART), Supervised Learning, Model Training, Predictive Modeling, Data Preprocessing, Statistical Machine Learning, Data-Driven Decision-Making, Machine Learning, Regression Analysis, Classification Algorithms, Data Analysis, Analysis, Data Modeling, Data Visualization Software, Data Visualization, Plot (Graphics)
University of Colorado Boulder
Skills you'll gain: Bayesian Network, Bayesian Statistics, Markov Model, Probability, Decision Intelligence, Reinforcement Learning, Machine Learning Methods, Artificial Intelligence, Statistical Inference, Statistical Modeling, Network Model, Forecasting, Probability & Statistics, Dependency Analysis, Statistical Methods, Agentic systems, Applied Machine Learning, Probability Distribution, Time Series Analysis and Forecasting, Sampling (Statistics)
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
Skills you'll gain: Bayesian Statistics, A/B Testing, Excel Formulas, Microsoft Excel, Statistical Machine Learning, Statistical Modeling, Predictive Analytics, Business Analytics, Statistical Software, Statistical Methods, Advanced Analytics, Probability & Statistics, Decision Making, Health Informatics, Statistical Programming, Markov Model, Diagnostic Tests, Probability Distribution, Sampling (Statistics)
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
Skills you'll gain: Model Evaluation, Predictive Modeling, Model Optimization, Data Preprocessing, Model Training, Model Deployment, Forecasting, Statistical Analysis, Performance Metric, Machine Learning, Deposit Accounts
In summary, here are 10 of our most popular probabilistic graphical models courses
- Bayesian Statistics: From Concept to Data Analysis:Â University of California, Santa Cruz
- Introduction to Predictive Modeling:Â University of Minnesota
- Predictive Modeling with Python:Â Edureka
- Practical Predictive Analytics: Models and Methods:Â University of Washington
- Building Statistical Models in R: Linear Regression:Â Coursera
- Generalized Linear Models and Nonparametric Regression:Â University of Colorado Boulder
- Master Decision Trees in R: Build, Predict & Evaluate:Â EDUCBA
- Reasoning Under Uncertainty:Â University of Colorado Boulder
- Introduction to Probability and Data with R:Â Duke University
- Bayesian Statistics: Excel to Python A/B Testing:Â EDUCBA
