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Python for Finance Bootcamp

  • Advanced
  • 18 and older
  • $1,295
  • Earn 12,950 reward points
  • Price Lock Guarantee
  • 185 Madison Ave, New York, NY & Virtually Online
  • 21 hours over 3 sessions
Python for Finance Bootcamp

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  • $1,295
  • 21 hours over 3 sessions
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  • Mon, Jun 10 at 10:00am - 5:00pm
  • Tue, Jun 11 at 10:00am - 5:00pm
  • Wed, Jun 12 at 10:00am - 5:00pm
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Class Description

Description

What you'll learn in this finance training:

In this advanced course, you will cover the major Python financial libraries to gather and manipulate financial data. You will start by working with financial APIs to fetch financial, company, and economic data. We will analyze financial statements from the SEC website, including financial ratios derived from the income statement and balance sheet. You will build a risk management models using Python libraries to create VAR models and Monte Carlo simulation. We will learn how to apply statistical measures such as linear regression to financial uses such as stock prices.

Target Audience: This course is ideal for financial analysts and professionals, risk managers, and portfolio managers, as well as those looking to break into a career in finance technology and data analysis.

This course has a Prerequisite

Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, 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.

Learn more about Python for Finance Bootcamp at Noble Desktop.

Syllabus

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

Refund Policy

  • Students may cancel up to 14 days before the class/program start date and receive a refund, less the registration fee (10% of the undiscounted course price). 
  • Cancellations within 14 days are not permitted, but students may reschedule up to three business days before the class start date.
  • For cancellations and reschedules, please email us at [email protected]"

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We are located in New York City on 34th street and Madison Avenue, a few blocks from Penn Station, Port Authority and Times Square. You may also attend this class live online (virtual training) via Zoom. We will reach out with additional information, including the Zoom info and class files.

Also available virtually online

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