Python finance courses can help you learn data analysis, financial modeling, algorithmic trading, and risk management. You can build skills in using libraries like Pandas for data manipulation, NumPy for numerical analysis, and Matplotlib for data visualization. Many courses also cover quantitative methods and portfolio optimization techniques, providing practical applications for financial decision-making. By working with real datasets, you’ll gain hands-on experience that prepares you for roles in finance and investment analysis.

Association of International Certified Professional Accountants
Skills you'll gain: Robotic Process Automation, Business Process Automation, Return On Investment, Automation, Accounting and Finance Software, Business Requirements, Process Analysis, Business Metrics, Value Propositions, Process Improvement, Project Scoping, Digital Transformation
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Large Language Modeling, LLM Application, Prompt Engineering, Microsoft Azure, OpenAI API, Retrieval-Augmented Generation, OpenAI, Model Deployment, Risk Management Framework, Embeddings, Application Deployment, Application Programming Interface (API), Python Programming
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Web Frameworks, Restful API, Application Programming Interface (API), API Testing, Application Deployment, Software Documentation, Package and Software Management, JSON, Application Development, Server Side, Python Programming, Data Validation
Intermediate · Guided Project · Less Than 2 Hours

Duke University
Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, CI/CD, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Test Automation, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Blockchain, Development Environment, Software Development Tools, Application Deployment, Transaction Processing, Application Design, Front-End Web Development, Cloud Development, Event-Driven Programming, Development Testing, Javascript
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Spreadsheet Software, Business Reporting, Data Visualization, Productivity Software, Data Management, Computer Literacy
Mixed · Course · 1 - 4 Weeks

Cisco Learning and Certifications
Skills you'll gain: Postman API Platform, Restful API, Authentications, Application Programming Interface (API), Scripting, JSON, Extensible Markup Language (XML), Network Protocols, YAML, Automation, Network Engineering, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: OpenAI API, Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Application Performance Management, Image Analysis, Application Programming Interface (API), LLM Application, Multimodal Prompts, Animations, File Management, Graphics Software, Embeddings, Classification Algorithms, Computer Graphics, Application Development, Python Programming, Computer Science
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Data Integration, Python Programming, Data Transformation
Beginner · Guided Project · Less Than 2 Hours