Financial Analytics

Financial modelling, valuation, risk analysis and profitability reporting with data tools.

Financial Engineering and Risk Management Specialization

Build core quantitative finance skills in derivative pricing, risk modeling, and portfolio optimization through Columbia University specialization.

Excel Python

Machine Learning for Finance in Python

Financial Analytics

An intermediate Python course covering linear models, decision trees, random forests, and neural nets to predict stock prices and build portfolios.

Python

Algorithmic Trading & Quantitative Analysis Using Python

Financial Analytics

Learn to build fully automated trading systems and apply Python-based quantitative analysis to stocks, forex, and market sentiment data.

Python

Financial analytics applies analytical method to money. Courses here span three-statement modelling and scenario analysis in Excel, valuation and cost-of-capital work, budgeting and variance reporting, credit and market risk, and portfolio analysis. The stronger programmes move beyond spreadsheets into Python for quantitative work, or into Power BI for automated management reporting that replaces a monthly manual pack. Useful for finance professionals who want to automate the analysis they already produce, and for data analysts joining an FP&A, treasury or investment team who need the domain vocabulary as much as the technique.