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: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Predictive Analytics, Data Wrangling, Statistical Methods, Data Transformation, Model Optimization
Mixed · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Database Software, Data Manipulation, Data Transformation, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, Model Optimization, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Model Training, Network Architecture
Advanced · Course · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, AI Personalization, Model Training, Sampling (Statistics), Artificial Neural Networks, Algorithms
Intermediate · Project · Less Than 2 Hours

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

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Preprocessing, Predictive Analytics, Logistic Regression, Risk Modeling, Model Training, Statistical Modeling, Feature Engineering, Regression Analysis, Correlation Analysis, Classification Algorithms, Data Cleansing, Model Optimization
Mixed · Course · 1 - 3 Months

Duke University
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization, Predictive Modeling, Scientific Visualization, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Statistical Visualization, Data Presentation, Data Manipulation, Data Wrangling, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Applied Machine Learning, Machine Learning Algorithms, Model Evaluation, Statistical Inference
Intermediate · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Model Evaluation, Regression Analysis, Verification And Validation, Feature Engineering, Plot (Graphics), Statistical Methods, Statistical Modeling, Scatter Plots, Data Transformation, Correlation Analysis, Statistical Analysis, R Programming, Time Series Analysis and Forecasting, Statistical Inference, Statistical Hypothesis Testing, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), SAS (Software), Forecasting, Statistical Machine Learning, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Statistical Analysis, Statistical Methods, Data Analysis Software, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Model Evaluation, Predictive Analytics, Model Optimization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, SAS (Software), Logistic Regression, Model Evaluation, Predictive Analytics, Statistical Modeling, Model Training, Statistical Software, Regression Analysis, Business Analytics, Supervised Learning, Statistical Analysis, Data Preprocessing, Statistical Methods, Feature Engineering, Sampling (Statistics)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Optimization, Model Training, Applied Machine Learning, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Data Wrangling, Model Evaluation, Data Preprocessing, Statistical Machine Learning, Feature Engineering
Intermediate · Course · 1 - 3 Months

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