Course Catalog
Browse courses designed for finance professionals on topics such as data science, machine learning, AI, quant finance, and other finance concepts.
Getting Started with Python
Learn Python fundamentals: syntax, data types, and basic programming concepts.
8 lessons
Getting Started with R Programming
Learn R basics including syntax, data types, and RStudio.
9 lessons
Python for Data Science
NumPy, data structures, and essential tools for data science.
12 lessons
Data Manipulation Using Pandas
Master Pandas for data wrangling and analysis.
21 lessons
R Programming for Data Science
Data manipulation with dplyr, tidyr, and the tidyverse.
17 lessons
Data Visualization with R
Learn how to create beautiful data visualizations in R using Base R graphics and ggplot2
29 lessons
Introduction to Machine Learning
ML fundamentals: concepts, workflow, and key algorithms.
13 lessons
Machine Learning in Finance Using Python
Apply ML algorithms to financial prediction problems using Python and scikit-learn.
22 lessons
Credit Risk Modelling in R
Build credit scoring models using R - from data prep to scorecard deployment.
28 lessons
Financial Time Series Analysis in R
Analyze and forecast financial time series data.
27 lessons
Portfolio Analysis in R
Portfolio optimization and performance analysis.
5 lessons
Investment Risk and Return Analysis in Python
Learn how to evaluate investment risks and returns using Python. Covers financial risk fundamentals, return calculations, statistical measures (mean, variance, skewness, kurtosis), and practical analysis techniques for real-world investment data.
14 lessons
Quantitative Trading Strategies in R
Build and backtest systematic trading strategies.
21 lessons
Derivatives with R
Price and analyze options and other derivatives.
15 lessons