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.

Universidad Austral
Skills you'll gain: Debugging, Programming Principles, Software Installation, Python Programming, Development Environment, Integrated Development Environments, Scripting Languages, Scripting, Computer Programming
Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Scikit Learn (Machine Learning Library), Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Email Automation, Automation, Application Programming Interface (API), Scripting, Python Programming, Web Scraping, Data Import/Export, Data Manipulation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Validation, Data Cleansing, Data Processing, Data Manipulation, Text Mining, Data Transformation, Scripting, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Data Preprocessing, Natural Language Processing, Machine Learning Methods, Text Mining, Scikit Learn (Machine Learning Library), Data Manipulation, Data Cleansing, Python Programming, Analysis, Pandas (Python Package), Development Environment, Software Development Tools, Algorithms
Mixed · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Object Oriented Programming (OOP), Code Review, Microsoft Visual Studio, Development Environment, Maintainability, Integrated Development Environments, Scalability, Programming Principles, Software Development Tools, Python Programming, Debugging
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Programming Principles, Development Environment, Scripting, Scripting Languages, Integrated Development Environments, Software Development Tools, Style Guides
Beginner · Course · 3 - 6 Months

University of Michigan
Skills you'll gain: Sampling (Statistics), Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Jupyter, Statistical Methods, Data Visualization Software, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, NumPy, Box Plots, Histogram, Python Programming
Beginner · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Model Evaluation, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Classification Algorithms, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Data Science, Unstructured Data, Data Preprocessing, Algorithms
Mixed · Course · 1 - 4 Weeks