Articles & Insights

What is Compound Interest?

Getting Started with Jupyter Notebooks

Learn to use Jupyter notebooks for interactive coding, data analysis, and sharing your work.

Python vs R: Which Should You Learn?

A practical comparison for finance professionals deciding between Python and R for data science and analytics.

Excel to Python: A Transition Guide

Already comfortable with Excel? Learn how your spreadsheet skills translate directly to Python and Pandas.

The Math Behind Data Science: What You Actually Need to Know

A practical guide to the math concepts behind data science—what you actually need to know as a finance professional, and what the libraries handle for you.

Setting Up Your Development Environment

Step-by-step guide to install Python, R, and essential data science tools on your computer.

Mini Roadmap - Data Science & Analytics for Finance [Free Download]

How to Become a Financial Analyst: A Practical Roadmap

Value at Risk for Derivative Instruments

Perpetual Bond Pricing

RAG and its Applications in Finance

Practical Uses of ChatGPT for Finance Professionals

How to Create a Covariance Matrix in R

What is Principal Component Analysis (With Steps)

Sorting Data in R Using order() Function

How to Perform Correlation Analysis in R for Financial Data

What is Decentralized Finance (DeFi)

Understanding Fungibility: What It Is and How It Works

Using ChatGPT for Finance

How to build a Discounted Cash Flow (DCF) model