Beginner
Introduction to Pandas and NumPy for Market Data
A hands-on introduction to NumPy and Pandas built around real Indian market data. You will learn to work with arrays and DataFrames, clean and index price data, pull live data from NSE and BSE, and run the same groupby and aggregation techniques used in professional quant workflows, all using screener.in exports and yfinance pulls instead of toy datasets.
NumPyPandasMarket DataPython for Finance
MODULES
3
DURATION
~3 hrs
TRACK
Python for Finance
What You'll Master
Why NumPy arrays outperform plain Python lists for price and returns data
How to build, index, and filter Pandas Series and DataFrames
How to work with dates and resample daily price data to weekly or monthly
How to pull and clean real NSE/BSE data with yfinance
How to merge price data with fundamentals from sources like screener.in
How to use groupby and aggregation for sector-wise return and volatility analysis
Access Level
LEARNER
Everything included
Full Text Playbooks
Actionable Exercises
Mobile Reading Mode
Lifetime Updates