Python Programming for Finance

New York Institute of Finance

How long?

  • from 3 days
  • in person

What are the topics?

New York Institute of Finance

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Who should attend

  • Developers
  • quants
  • analysts
  • financial engineers and anyone seeking to become a better financial modeler.

About the course

This course will teach you the essential elements of Python to build practically useful applications and conduct data analysis for finance.

This course is a component of the Data Analysis and Programming for Finance Professional Certificate.

Prerequisite knowledge:

  • Basic probability and statistics
  • Some familiarity with financial securities and derivatives
  • Elementary differential and integral calculus

CURRICULUM

Day 1

MODULE 1: INTRODUCTION TO PYTHON

  • The Anaconda Python distribution
  • Interactive programming: IPython and Jupyter notebooks
  • Programming: control structures, data types, functions, data structures
  • Modules and Packages
  • Back to Top

MODULE 2: ESSENTIAL PYTHON TOOLKIT

  • Date and time management : format, measuring time lapse, etc.
  • How to build and run a standalone application
  • Parsing command line arguments
  • Importing/Exporting files
  • Reading and writing in CSV format
  • Accessing SQL databases
  • Multiprocessing
  • Using a dictionary for explicit indexing
  • Back to Top

MODULE 3: ARRAYS, VECTORIZATION AND RANDOM NUMBERS

  • NumPy: array processing
  • Vectorized functions
  • Random number generation

Day 2

MODULE 1: SCIENTIFIC COMPUTING WITH PYTHON

  • Matplotlib: 2D and 3D plotting
  • Using pyplot
  • SciPy: scientific computing
  • Root finding, interpolation, integration and optimization

MODULE 2: DATA ANALYSIS WITH PYTHON

  • Data analysis with scipy.stats and pandas
  • Pandas data structures: series and data frames
  • Importing and exporting data from/to MS Excel
  • Importing data from websites

Day 3

MODULE 1: PYTHON APPLICATIONS

  • Monte Carlo simulation basics
  • Simulating asset price trajectories
  • Variance reduction techniques
  • Pricing options by Monte Carlo simulation
  • Pricing options by finite difference methods

WHAT YOU'LL LEARN

  • Learn the basic elements of programming in Python
  • Learn essential data analysis concepts and techniques for finance
  • Build realistic applications for finance using Monte Carlo methods and other useful techniques

Python Programming for Finance at New York Institute of Finance

From  $2,039
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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

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