
University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Program Development, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Visualization Software, Data Science, Statistical Programming, Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Development Environment, Python Programming, Open Source Technology
Beginner · Course · 1 - 3 Months

Skills you'll gain: Robotic Process Automation, Email Automation, Business Process Automation, Automation, Transaction Processing, Web Applications, Software Architecture, Maintainability, Data Import/Export, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Billing & Invoicing, Accounts Payable, Accounting Software, Ledgers (Accounting), Reconciliation, Billing, Accounts Payable and Receivable, Payment Processing and Collection, Billing Systems, QuickBooks (Accounting Software), Accounts Receivable, Bookkeeping, Invoicing, General Ledger, Auditing, Record Keeping, Automation, Transaction Processing, Financial Accounting, Process Optimization
Beginner · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing
Intermediate · Specialization · 3 - 6 Months

University of London
Skills you'll gain: Brand Management, Branding, Brand Marketing, Brand Strategy, Brand Awareness, Employee Engagement, Marketing Management, Global Marketing, Internal Communications, Customer experience strategy (CX), Human Resources, Organizational Change, Consumer Behaviour, Cross-Functional Collaboration
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Flow Diagrams (DFDs), Apache Airflow, Data Pipelines, Data Modeling, Data Integration, Data Architecture, Data Warehousing, Apache Spark, Extract, Transform, Load, Database Development, Data Processing, Data Transformation, Data Quality, Data Validation, Configuration Management, Enterprise Security
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Power Platform, Microsoft Copilot, Prompt Engineering, Microsoft Power Automate/Flow, Power BI, Microsoft 365, Multimedia, Microsoft PowerPoint, Dashboard, Microsoft Excel, Excel Formulas, Microsoft Word, Data Visualization, No-Code Development, Spreadsheet Software, Collaborative Software, Microsoft Office, Power Apps Component Framework, Presentations, Data Analysis
Beginner · Specialization · 3 - 6 Months

Princeton University
Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Java Programming, Theoretical Computer Science, Object Oriented Programming (OOP)
Intermediate · Course · 3 - 6 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

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