Introductory Data Science For Investing And Trading

Free APIs and powerful visualizations using python - Jupyter Notebooks included

What you'll learn

Download data from APIs that have public information such as Yahoo Finance, Federal Reserve FRED,SEC Edgar, OECD, FDIC, The World Bank, etc

Perform basic analytic calculations such as mean and median return, volatility, correlation, maximum drawdown, etc

Visualize the information in powerful and impacful charts.

Put all the information together to be able to analyze how a stock or any financial asset has performed in the past and give a view about it.

Requirements

Basic python knowledge like installing the program and its main libraries.

Basic financial concepts like what is a stock.

Description

This Introductory Data Science for Investing and Trading course is designed to teach you 3 main things using python: 1) Download data from public APIs such as Yahoo Finance, The World Bank, EUROSTAT, SEC Edgar, FINRA, etc. 2) Perfom some basic analytics using python, like calculating mean and median returns, volatility, correlation or maximum drawdown. Along the way you will learn basic commands for pandas, numpy and other libraries. 3) Make powerful and nice visualization for your data and calculations using libraries such as Matplotlib, Plotly or Seaborn. We have organized the course in those 3 main topics. In each of them you will have complementary exercises that will help you better understand the concepts. For each lecture we provide a jupyter notebook, so you can reproduce the examples in your computer as well. If you are a financial analyst this course will help you a lot, since you will leverage your financial skills with useful python scripts. This course can also help traders, portfolio managers, financial advisors and other financial professionals who want to increase their productivity, process data better and make more impactful presentations using powerful charts. You just need very basic python knowledge. If you know how to install python and its basic libraries you can follow this course. So, don't hesitate to jump in and start learning with us.

Overview

Section 1: Introduction

Lecture 1 Quick Introduction

Lecture 2 Introduction

Section 2: Download Data from APIs

Lecture 3 Yahoo Finance API

Lecture 4 Federal Reserve - Fred API

Lecture 5 World Bank API

Lecture 6 OECD API

Lecture 7 EUROSTAT API

Lecture 8 EDGAR API

Lecture 9 FINRA API

Lecture 10 FDIC API

Section 3: Basic analytics

Lecture 11 Mean and Median Returns

Lecture 12 Cumulative Return

Lecture 13 Volatility

Lecture 14 Correlation

Lecture 15 Portfolio Return and Volatility

Lecture 16 Maximum Drawdown

Section 4: Data Visualization

Lecture 17 Cumulative Return Chart

Lecture 18 Heatmap Return Chart

Lecture 19 Treemap Chart

Lecture 20 Candlestick Chart

Lecture 21 Disperssion Chart

Lecture 22 Bar Chart

Lecture 23 Histogram

Lecture 24 Boxplot

Lecture 25 Historical Simulation

Lecture 26 Two Axis Chart

Lecture 27 Geographical Chart

Lecture 28 Wordcloud

Lecture 29 Dynamic Chart

Financial analyst who want to learn useful python applications.,Financial advisor who wish to better comunicate with their customers showing powerful visualizations.,Independent traders and portfolio managers who would like to know how to download information from public APIs for free.