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Catalog / All levels / Beginners Financial Analysis with Python, NumPy and Pandas
Mammoth Club All levels 3 sections 16 lectures

Beginners Financial Analysis with Python, NumPy and Pandas

Start your journey into financial data science with a hands-on guide to Python, NumPy, and Pandas. This course covers the absolute essentials: from calculating compounded and annualized returns to cleaning and visualizing stock data.

MC
Created by Team Mammoth
01
Skill level
All levels
02
Sections
3
03
Lectures
16
04
Instructor
Team Mammoth
What's inside

This course includes.

✓
3
Sections
✓
16
Lectures
✓
16
Resources
✓
Certificate of completion
Included
✓
Mobile and desktop access
Included
✓
AI learning assistance
Included
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Course content

Curriculum & lectures.

3 sections · 16 lectures
+ 00 Introduction to Algorithmic Trading 1 lecture
Introduction Locked
+ 01 Compute returns from prices 8 lectures
Stock Prices and Calculating Returns Locked
01 Calculate Stock Returns with Python Preview Free preview
02a Stock Analysis with Pandas Locked
02b Use Pandas DataFrame for Multiple Stocks Locked
03a Analyzing CSV Data Locked
03b Read Data from a CSV File in Python Locked
04a Compounding and Annualizing Returns Locked
04b Compound and Annualize Returns in Python Locked
+ 02 Analyze Volatility and Returns of Stock Portfolios 7 lectures
01a Understanding stock portfolio data Locked
01b Clean and visualize data with Python Locked
02a Understanding volatility and standard deviation Locked
02b Calculate volatility with Python Locked
03a Annualized volatility Locked
03b Annualize volatility and returns in Python Locked
04a Calculate Sharpe Ratio for risk-adjusted return in Python Locked
Description

About this course.

You will move from basic CSV analysis to computing Sharpe Ratios, giving you the fundamental skills needed for any role in algorithmic trading or financial research.

► Compute Stock Returns and Annualized Performance

► Analyze and Clean Financial Data with Pandas

► Read and Process CSV Data for Multiple Stocks

► Calculate Volatility and Risk Adjusted Sharpe Ratios

► Visualize Market Trends and Portfolio Volatility

✔️ Lifetime access

✔️ Source code

This is the entry point for anyone who wants to replace manual spreadsheets with powerful Python scripts. You will gain the confidence to handle large financial datasets and extract meaningful insights that lead to better investment decisions.

Start your financial analysis journey now.

Ready to start building?

Start your journey into financial data science with a hands-on guide to Python, NumPy, and Pandas. This course covers the absolute essentials: from calculating compounded and annualized returns to cleaning and visualizing stock data.

Buy lifetime access →