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: Working Capital, Income Statement, Balance Sheet, Capital Expenditure, Business Valuation, Accounts Receivable, Cash Flows, Risk Analysis
Mixed · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Tableau Software, Exploratory Data Analysis, Correlation Analysis, Storytelling, Data Ethics, Data Analysis, Advanced Analytics
Mixed · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: JUnit, Apache Maven, Model View Controller, Unit Testing, Spring Boot, Restful API, Data Persistence, Software Testing, Java, Back-End Web Development, Front-End Web Development, Authentications, Data Modeling, Business Logic
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Infrastructure as Code (IaC), Endpoint Security, Vulnerability Management, Cloud Computing Architecture, Cloud Security, Cyber Threat Intelligence, Vulnerability Assessments, Cyber Attacks, Zero Trust Network Access, Cybersecurity, Network Security, Cloud Deployment, Infrastructure Security, Mobile Security, Security Controls, Disaster Recovery
Intermediate · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Environmental Monitoring, Environmental Regulations, Environment, Taxonomy, Geospatial Information and Technology, Environmental Science, Spatial Data Analysis, Research, Scientific Visualization, Data Literacy, Biology, Data Visualization, Physics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Infographics, Data Presentation, Interactive Data Visualization, Data Visualization, Generative AI, AI Enablement, Analytics, Artificial Intelligence, Data Visualization Software, Data Analysis, Business Reporting, Real Time Data, Data Science
Intermediate · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction
Intermediate · Course · 1 - 3 Months

Skills you'll gain: 3D Modeling, 3D Assets, Unreal Engine, Computer Graphics, Computer Graphic Techniques, Animation and Game Design, Graphical Tools, Virtual Environment, Data Import/Export, Image Quality, Performance Tuning, Content Management
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Natural Language Processing, Supervised Learning, Network Architecture, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction
Advanced · Course · 1 - 3 Months