Professional Course

Python for Finance

ACF Academy, In London (+3 locations)
Length
2 days
Price
2,300 USD, 1,825 GBP
Next course start
2 May, 2024 (+2 start dates)
Delivery
Classroom
Length
2 days
Price
2,300 USD, 1,825 GBP
Next course start
2 May, 2024 (+2 start dates)
Delivery
Classroom
This provider usually responds within 48 hours 👍

Course description

Python for Finance

Python is increasingly being seen as an essential skill for everyone working in finance. This highly practical course is intensively focused on how Python can be used in a range of real-world finance applications.

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Upcoming start dates

Choose between 2 start dates

2 May, 2024

  • Classroom
  • London

12 June, 2024

  • Classroom
  • New York City

Who should attend?

Who Should Attend

Anyone who wants to use Python in practical financial applications.

Prerequisites

You should be familiar with the content of our Introduction to Python course.

Training content

Review of Essential Skills

  • Defining and using functions
  • Creating and using a PV function
  • Working with classes
  • Creating and using a bond class
  • Working with arrays
  • Generating random numbers
  • Implementing random-walk price sequence

Python Libraries for Finance

  • The essentials:
    • Pandas
    • SciPy
    • NumPy
    • Statistics
    • Matplotlib
  • Finance libraries:
    • Pyfin
    • QuantPy
    • QuantLib
    • Quant DSL
    • Ffn
    • Quandl
    • Pynance
    • PyAlgoTrade
    • Zipline

Working with Data

  • Sources of financial data
  • Time-series data
    • Downloading
    • Cleaning / scrubbing
    • Transformations
    • Analyzing
    • Displaying
  • Data visualization
  • Interfacing Python with Excel
  • Analyzing historical volatility

Real-World Finance Applications

Investment Management

  • Working with securities portfolios
  • Generating the efficient frontier
  • Calculating alpha, beta, and the Sharpe ratio
  • Building an optimal investment portfolio

Option Pricing

  • Implementing the Black Scholes model for option pricing
  • Implementing a Monte-Carlo pricing model for a vanilla option
  • Implementing a Monte-Carlo pricing model for exotic options

Trading Strategies

  • Machine learning techniques
  • Analyzing financial markets data
  • Implementing an algorithmic trading strategy

Costs

  • New York: $2,300
  • London: £1,825 (plus VAT)
  • Virtual: £1,575 (plus VAT)

Certification / Credits

CPD: 14 hours

Learning Outcomes

By attending this course, you will:

  • Explore a wide range of Python libraries essential for building financial applications
  • Explore how to source, download, scrub, analyse, and visualize financial data
  • Learn how to build practical Python applications in investment management, derivatives pricing, and algorithmic trading

Why choose ACF Academy?

Over 100,000 professionals trained globally

Award-winning practical financial simulations

Consistently high ratings

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ACF Academy
28 King Street
EC2V 8EH London

ACF Academy

ACF Consultants are a global leader in providing practical and effective training for financial professionals. Leading banks, companies and financial institutions from all over the world partner with us to develop their people to achieve their goals. They trust our...

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