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.

Board Infinity
Skills you'll gain: Classification Algorithms, Data Preprocessing, Model Deployment, Model Evaluation, Decision Tree Learning, Regression Analysis, Logistic Regression
Beginner · Course · 1 - 4 Weeks
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation
Beginner · Course · 1 - 3 Months

Alfaisal University | KLD
Skills you'll gain: Loans, Excel Formulas, Microsoft Excel, Financial Reporting, Business Reporting, Spreadsheet Software, Accounting and Finance Software, Time Series Analysis and Forecasting, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Classification Algorithms, Image Analysis, Convolutional Neural Networks, Supervised Learning, Machine Learning Algorithms, Machine Learning, Model Evaluation, NumPy, Regression Analysis
Intermediate · Course · 1 - 3 Months

Howard University
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Pipelines, Data Warehousing, Dataflow, Extract, Transform, Load, Data Cleansing, Data Quality, Google Cloud Platform, Data Validation, Workflow Management, Data Processing, Apache Spark, Scalability, Data Transformation, Performance Tuning, Resource Management, Scheduling
Intermediate · Course · 1 - 4 Weeks
Starweaver
Skills you'll gain: Portfolio Management, Investment Management, Investments, Tax Planning, Wealth Management, Income Tax, Risk Management, Financial Planning, Goal Setting, Equities, Financial Analysis, Decision Making, Planning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Python Programming, Machine Learning Algorithms, NumPy, Model Evaluation, Exploratory Data Analysis
Intermediate · Course · 1 - 4 Weeks

Simplilearn
Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Hugging Face, AI Workflows, Context Management, Generative AI Agents, Vector Databases, Prompt Engineering, Semantic Web
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Blockchain, Web Development Tools, Software Development Tools, Application Development, Go (Programming Language), Development Environment, Computer Programming Tools, Business Logic, Software Development, Program Development, Digital Assets, FinTech, Virtual Machines, Transaction Processing, Distributed Computing, Cryptography, Emerging Technologies, Encryption, Business Analysis, Market Dynamics
Intermediate · Specialization · 1 - 3 Months

Pearson
Skills you'll gain: Deep Learning, Convolutional Neural Networks, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Tensorflow, Python Programming, Data Preprocessing, Network Architecture, Classification Algorithms, Model Evaluation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks