Articles & Insights

What is Compound Interest?

Conclusion

Conducting Normality Tests in Python: Practical Applications

Calculate Skewness and Kurtosis in Python

Higher Moments of Distribution

Calculating the First and Second Moments (Mu and Variance) in Python

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