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Learn Python for Financial Analysis and Algorithmic Trading

January 19, 2021

Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading? The Udemy course “Python for Financial Analysis and Algorithmic Trading” will guide you through everything you need to know! You’ll start by learning the fundamentals of Python, and then proceed to learn about the various core libraries used in the Py-Finance Ecosystem, including jupyter, numpy, pandas, matplotlib, statsmodels, zipline, Quantopian, and much more!

Udemy - Python For Financial Analysis

Python for Financial Analysis and Algorithmic Trading Course Content

This course has been designed for anyone familiar with Python who wants to learn about Financial Analysis. In the course you’ll learn the skills used by financial professionals, for example, how to:

  • Use NumPy to quickly work with Numerical Data;
  • Use Pandas to Analyze and Visualize Data;
  • Use Matplotlib to create custom plots;
  • Use Statsmodels for Time Series Analysis;
  • Calculate Financial Statistics, such as Daily Returns, Cumulative Returns, Volatility, etc;
  • Use Exponentially Weighted Moving Averages;
  • Use ARIMA models on Time Series Data;
  • Calculate the Sharpe Ratio;
  • Optimize Portfolio Allocations;
  • Conduct algorithmic Trading on Quantopian.

The Course comprises 117 Lectures organized into the following sections:

  • Course Introduction
  • Course Materials and Set-up
  • Python Crash Course
  • NumPy
  • General Pandas Overview
  • Visualization with Matplotlib and Pandas
  • Data Sources
  • Pandas with Time Series Data
  • Capstone Stock Market Analysis Project
  • Time Series Analysis
  • Python Finance Fundamentals
  • Basics of Algorithmic Trading with Quantopian
  • Advanced Quantopian and Trading Algorithms

Requirements

  • Some knowledge of programming (preferably Python);
  • Ability to Download Anaconda (Python) to your computer;
  • Basic Statistics and Linear Algebra will be helpful.

Summary of Course Main Features

  • Instructor: Jose Portilla
  • Lectures: 121
  • On-demand video: 16.5 hours
  • Articles: 9
  • Downloadable Resources: 2
  • Includes:
    • 30-Day Money-Back Guarantee
    • Full lifetime access
    • Access on mobile and TV
    • Certificate of Completion

Click the link below to check for special offer details

Visit the Course Page

 

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Filed Under: Economics & Finance, Math, Programming, Python, Statistics & Data Analysis Tagged With: Algorithms, Financial Analysis, Numerical Data, Python, Trading, Visualize Data

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