# Python for Finance Bootcamp

Canonical URL: <https://www.creativelive.com/classes/python-finance-bootcamp>

## Overview

In this advanced course, you will work with the major Python financial libraries to gather and manipulate financial data. You will start by using financial APIs to fetch company and economic data.

The course then shifts to analyzing financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. From there, you will build risk management models using Python libraries to create VAR models and Monte Carlo simulations. Finally, you will learn how to apply statistical measures such as linear regression to financial applications, including stock price predictions.

## What you'll learn

- Gathering financial information with Python
- Financial APIs
- Analyzing 10-K filings from the SEC website
- Time value of money calculations with Python
- Risk management with Python
- Calculating Value at Risk (VAR)
- Financial ratio analysis
- Fixed income analysis with Python
- Option strategies with Python
- Portfolio management with Python
- Regression analysis

## Prerequisites

**Python / Data:** Participants should be familiar with concepts from [Python for Data Science Bootcamp](/classes/python-data-science-bootcamp-nyc), including built-in data types, data structures, Pandas, and Matplotlib.

**Finance Background:** Participants should be familiar with financial concepts such as NPV, IRR, financial statements, and stock fundamentals. Those without a background in finance should contact us after registration to access a free on-demand supplemental guide.

## Curriculum

#### Introduction to Python

- Variables
- Numeric Data Types: Int & Float
- Sequential Types: Str & List
- Definite Loops: For loops
- If-Elif-Else Statements
- Data Types: Tuples
- Build Mortgage Calculator with Python

#### Advanced Python

- Creating Custom Functions
- Indefinite Loops: while loops
- Data Types, Dictionary and Set
- Slicing Data Types
- Reading txt files with Python
- Analyze data from text and csv file

#### Numerical Python & Pandas

- NumPy Array
- Broadcasting and U-Functions
- Introduction to Pandas
- Series, DataFrame, Panel
- Manipulate live S&P data from https://www.sectorspdr.com/sectorspdr/

#### Data Manipulation

- 5 ways to create a DataFrame
- Slicing and Filtering DataFrame
- Lambda
- Run If and Else scenarios
- Gather and Manipulate Data with Pandas
- Analyze business data from csv files

#### Data Extraction & Analysis

- Get live data from APIs
- Plot data with Matplotlib
- Merge and Concat Data
- Groupby in Pandas
- What if logic in Finance with Pandas

## Pricing

**Tuition:** $1295