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.

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Deep Learning, Transfer Learning, Image Analysis, Model Deployment, Convolutional Neural Networks, Keras (Neural Network Library), Applied Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Import/Export, NumPy, Pandas (Python Package), Pivot Tables And Charts, Business Reporting, Data Manipulation, Analytics, Data Processing, Management Reporting, Data Wrangling, Business Analytics, Data Cleansing, Data Analysis, Data Transformation, Statistical Analysis, Data Management, Descriptive Statistics, Linear Algebra
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cyber Risk, Cyber Security Strategy, Risk Mitigation, Risk Management Framework, Cybersecurity, Security Management, Risk Analysis, Security Strategy, Information Management, Law, Regulation, and Compliance, Financial Services, Data Security, Asset Protection, Business Continuity, Digital Assets
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, LangChain, Large Language Modeling, Vector Databases, Model Deployment, OpenAI API, Hugging Face, Scalability, Embeddings, Generative AI, Data Integration, Data Science, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation
Advanced · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), NumPy, Data Wrangling, Data Transformation, Data Manipulation, Pivot Tables And Charts, Data Preprocessing, Data Cleansing, Data Analysis, Numerical Analysis, Statistical Analysis, Data Structures, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

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

Skills you'll gain: Email Automation, People Analytics, Job Analysis, Business Analysis, Grammar, Customer Support, Debugging
Beginner · Course · 1 - 3 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: Model Deployment, Tensorflow, Model Evaluation, Data Preprocessing, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Penetration Testing, Metasploit, Open Web Application Security Project (OWASP), Network Protocols, Vulnerability Assessments, Cyber Security Assessment, Exploitation techniques, Brute-force attacks, Windows PowerShell, Active Directory, Network Security, Network Analysis, Microsoft Windows, Wireless Networks, Scripting, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Customer Analysis, Statistical Visualization, Unsupervised Learning, Customer Insights, Correlation Analysis, Data Preprocessing, Pandas (Python Package), Heat Maps, Data Manipulation, Seaborn, Histogram, Scatter Plots, Matplotlib, Exploratory Data Analysis, Applied Machine Learning, Data Visualization Software
Mixed · Course · 1 - 4 Weeks