Financial Analysis Course with Python

Financial Analysis Course with Python

  • Use NumPy to quickly work with Numerical Data
  • Use Matplotlib to create custom plots
  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc..
  • Use ARIMA models on Time Series Data
  • Optimize Portfolio Allocations
  • Learn about the Efficient Market Hypothesis
  • Use Pandas for Analyze and Visualize Data
  • Learn how to use statsmodels for Time Series Analysis
  • Use Exponentially Weighted Moving Averages
  • Calculate the Sharpe Ratio
  • Understand the Capital Asset Pricing Model
  • Conduct algorithmic Trading on Quantopian

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Financial Analysis Course with Python Syllabus

Course Introduction

Course Materials and Set-up

  • Course Installation Help Notes
  • Course Installation Guide

Python Crash Course

  • Welcome to the Python Crash Course
  • Introduction to Crash Course
  • Python Crash Course Part One
  • Python Crash Course Part Two
  • Python Crash Course Part Three
  • Python Crash Course Exercises
  • Python Crash Course Exercise Solutions

NumPy

  • Welcome to NumPy
  • Introduction to NumPy
  • NumPy Arrays
  • Numpy Operations
  • Numpy Indexing
  • NumPy Review Exercise
  • Numpy Exercise Solutions

General Pandas Overview

  • Welcome to Pandas
  • Introduction to Pandas
  • Series
  • DataFrames
  • DataFrames Part Two
  • DataFrames Part Three
  • Missing Data
  • Group By with Pandas
  • Merging, Joining, and Concatenating DataFrames
  • Pandas Common Operations
  • Data Input and Output
  • General Pandas Review Exercises
  • General Pandas Exercise Solutions

Visualization with Matplotlib and Pandas

  • Welcome to Visualization
  • Introduction to Visualization in Python
  • Matplotlib Basics – Part One
  • Matplotlib Basics – Part Two
  • Matplotlib Part Three
  • Matplotlib Exercise
  • Matplotlib Exercise Solutions
  • Pandas Visualization Overview
  • Pandas Time Series Visualization
  • Pandas Visualization Exercise Overview
  • Pandas Visualization Exercise Solutions

Data Sources

  • Introduction to Data Sources
  • Note on Pandas Datareader
  • Pandas DataReader
  • Quandl

Pandas with Time Series Data

  • Welcome to Pandas for Time Series
  • Introduction to Time Series with Pandas
  • Datetime Index
  • Time Resampling
  • Time Shifts
  • Pandas Rolling and Expanding

Capstone Stock Market Analysis Project

  • Welcome to the Capstone Project!
  • Stock Market Analysis Project
  • Stock Market Analysis Project Solutions Part One
  • Python Stock Market Analysis Solutions – Part Two
  • Stock Market Analysis Project Solutions Part Three
  • Stock Market Analysis Project Solutions Part Four

Time Series Analysis

  • Welcome to Time Series Analysis\
  • Introduction to Time Series
  • Time Series Basics
  • Introduction to Statsmodels
  • ETS Theory
  • EWMA Theory
  • EWMA Code Along
  • ETS Code Along
  • ARIMA Theory
  • ACF and PACF
  • ARIMA with Statsmodels
  • Quick Note on Second Milk Difference!
  • ARIMA Code Part Two
  • ARIMA Code Part Three
  • ARIMA Code Part Four
  • Discussion on choosing PDQ

Python Finance Fundamentals

  • Welcome to Finance Fundamentals
  • Introduction to Python Finance Fundamentals
  • Sharpe Ratio Slides
  • Portfolio Allocation Code Along Part One
  • Portfolio Allocation Code Along Part Two
  • Portfolio Optimization
  • Portfolio Optimization Code Along One
  • Portfolio Optimization Code Along Two
  • Portfolio Optimization Code Along Three
  • Key Financial Topics
  • Types of Funds
  • Order Books
  • Short Selling
  • CAPM – Capital Asset Pricing Model
  • CAPM Code Along
  • Stock Splits and Dividends
  • EMH

Basics of Algorithmic Trading with Quantopian

  • Welcome to the Quantopian Section
  • Introduction to Quantopian
  • Note on get_fundamentals
  • Quantopian Research Basics
  • Quantopian Algorithms Basics Part One
  • Quantopian Algorithms Basics Part Two
  • First Trading Algorithm – Part One
  • First Trading Algorithm – Part Two
  • Trading Algorithm Exercise
  • Trading Algorithm Exercise Solutions Part One
  • Trading Algorithm Exercise Solutions Part Two
  • Quantopian Pipelines Factors
  • Quantopian Pipelines Filters
  • Quantopian Pipeline – Masking and Classifiers

Advanced Quantopian and Trading Algorithms

  • Welcome to Trading Algorithms
  • Pipeline Trading Algorithm Example – Code Along – Part One
  • Pipeline Trading Algorithm – Code Along – Part Two
  • Quick note
  • Pipeline Trading Algorithm Code along Part Three
  • Leverage
  • Hedging
  • Hedging- Part Two
  • Portfolio Analysis with PyFolio
  • Stock Sentiment Analysis Project
  • What are Futures?
  • Futures on Quantopian
  • Futures on Quantopian Part Two

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