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Hands-On Python For Finance

Hands-On Python For Finance


Simpliv LLC

Summary

Price
Save 79%
£119.90 inc VAT (was £580.48)
Or £39.97/mo. for 3 months... Read more
Offer ends 31 December 2020
Study method
Online, self-paced
Duration
5 hours
Access to content
Lifetime access
Qualification
No formal qualification
Additional info
  • Tutor is available to students
  • Certificate of completion available and is included in the price

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Overview

Course Curriculum

Python Programming Primer

The Python Data Environment

Time Value of Money

Time Series Evaluation and Forecasting

Linear Models, Correlation, and Valuation

Build a Monte Carlo Simulation App

Description

Description
The practical guide to using data-driven algorithms in Finance.

Did you know Python is the one of the best solution to quantitatively analyse your finances by taking an overview of your timeline? This hands-on course helps both developers and quantitative analysts to get started with Python, and guides you through the most important aspects of using Python for quantitative finance.

You will begin with a primer to Python and its various data structures.Then you will dive into third party libraries. You will work with Python libraries and tools designed specifically for analytical and visualization purposes. Then you will get an overview of cash flow across the timeline. You will also learn concepts like Time Series Evaluation, Forecasting, Linear Regression and also look at crucial aspects like Linear Models, Correlation and portfolio construction. Finally, you will compute Value at Risk (VaR) and simulate portfolio values using Monte Carlo Simulation which is a broader class of computational algorithms.

With numerous practical examples through the course, you will develop a full-fledged framework for Monte Carlo, which is a class of computational algorithms and simulation-based derivatives and risk analytics.

About the Author

Matthew Macarty has taught graduate and undergraduate business school students for over 15 years and currently teaches at Bentley University. He has taught courses in statistics, quantitative methods, information systems and database design.
Basic knowledge
This course is for developers and analysts with some background in programming language and are interested in a concrete framework for using Python to augment or replace spreadsheet applications for financial tasks.

What will you learn
General programing skills in Python and working with common Python interfaces
Using Numpy, Pandas and matplotlib to manipulate, analyze and visualize data
Understand the Time value of money applications and project selection
Getting and with working data, time series forecasting methods and linear models
Understand Correlation and portfolio construction
Be comfortable with Monte Carlo Simulation, Value at Risk and Options Valuation

Who is this course for?

Who this course is for:
This course is for developers and analysts with some background in programming language and are interested in a concrete framework for using Python to augment or replace spreadsheet applications for financial tasks.

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