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Python for Finance Immersive

  • Beginner
  • 18 and older
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  • Live Online Webinar
  • 35 hours over 5 sessions
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Start Dates (0) $1,295/person

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Class Description

Description

Learn to analyze financial data with Python in this 18-hour intensive bootcamp for current or aspiring financial professionals.

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

  1. Python / Data: Participants should be familiar with concepts from Python for Data Science Bootcamp, including built-in data types, data structures, Pandas, and Matplotlib.
  2. 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 Immersive at Practical Programming.

Remote Learning

This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.

Upon registration, the instructor will send along additional information about how to log-on and participate in the class.

Also available in-person in NYC

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

To reschedule or cancel, email us at [email protected]

All courses include a non-refundable registration fee (10% of the undiscounted course price).

  • Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
  • Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.

Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.

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Practical Programming

Practical Programming offers programming classes and workshops for individuals of all skill levels who are interested in learning Python coding. It is suitable for beginners and those looking to start a career in programming or build dynamic web applications using Python.

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