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, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Descriptive Statistics, Data Analysis, Predictive Modeling, Predictive Analytics, Data Literacy, Statistical Modeling, Business Analytics, Statistical Hypothesis Testing, Exploratory Data Analysis, Data-Driven Decision-Making, Customer Analysis, Statistical Machine Learning, Data Science, Model Evaluation, Scikit Learn (Machine Learning Library), Statistical Analysis, Feature Engineering, Data Visualization, Statistical Inference, Supervised Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Predictive Modeling, Model Training, Statistical Machine Learning, Machine Learning Software, Model Optimization, Performance Analysis, Performance Metric, Performance Improvement
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

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Analysis, Experimentation, Research Design, Statistical Methods, Statistical Programming, Data Science, Data Analysis, R (Software), Predictive Modeling, Statistical Software, Predictive Analytics, Probability & Statistics, General Science and Research, Correlation Analysis
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 Months

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
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, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
Intermediate · Specialization · 3 - 6 Months

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Spatial Data Analysis, Datamaps, Data Visualization, Tableau Software, Leaflet (Software), Spatial Analysis, Network Model, Dashboard Creation, Dashboard, Matplotlib, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Autoencoders, Model Deployment, Deep Learning, Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Artificial Neural Networks, Model Training, Convolutional Neural Networks, Performance Tuning, Artificial Intelligence, Scalability, Python Programming, Machine Learning, Memory Management, Image Quality, Performance Analysis
Beginner · Course · 1 - 4 Weeks

Universidad Nacional Autónoma de México
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistical Methods, Statistics, Statistical Modeling, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months