Catalogue
/
Programming
/
Python Programming for Finance

Python Programming for Finance

Dive deep into Python's potential for finance over this the span of this training. Learn to harness Python's power in analyzing, visualizing, and optimizing financial data, ensuring a comprehensive understanding of its application in the finance sector.

What will you learn?

Dive deep into Python's potential for finance over this the span of this training. Learn to harness Python's power in analyzing, visualizing, and optimizing financial data, ensuring a comprehensive understanding of its application in the finance sector.

In this intensive course, participants will:

• Master Python's programming fundamentals.

• Utilize top tools and techniques to analyze financial data.

• Develop applications targeting asset allocation, risk analysis, and more.

• Incorporate Python applications with popular platforms like Excel.

• Troubleshoot and optimize your financial programs for enhanced performance.

Requirements:

•Basic understandingof finance (e.g., securities, derivatives).

• Fundamental grasp of probability and statistics.

• Familiarity with elementary differential and integral calculus.

Course Outline*:

*We know each team has their own needs and specifications. That is why we can modify the training outline per need.

Python and Finance Introduction

  • Setting up the Development Environment: Local vs. Online (Anaconda and Jupyter)
  • Python Programming Fundamentals: Control structures, data types, and more

Data Management & Visualization

  • Extending Python's Capabilities: Modules and Packages
  • Your First Python Application: Estimating start and end times
  • Accessing External Data: Handling CSV and SQL databases
  • Organizing Data: NumPy, arrays, and vectors
  • Data Visualization: Matplotlib, pyplot, and SciPy

Financial Data Analysis

  • Analyzing Data: Using scipy.stats and pandas
  • Financial Data Handling: Import/export (Excel, website data)
  • Simulating Asset Price: Monte Carlo simulation
  • Asset and Portfolio Management: Allocation, risk assessment, and optimization

Advanced Financial Analysis

  • Risk Analysis & Investment: Portfolio optimization problems
  • Fixed-Income and Option Pricing: Analysis and pricing methods
  • Financial Time Series Analysis: Time series data in financial markets

Application Deployment & Optimization

  • Taking Python Apps into Production: Integration with Excel and web apps
  • Application Performance: Optimization techniques
  • Parallel Computing and Multiprocessing
  • Troubleshooting your application
  • Closing Remarks: Summarizing the course and next steps

Hands-on learning with expert instructors at your location for organizations.

6.897€*
Graph Icon - Education X Webflow Template
Level:
intermediate
Clock Icon - Education X Webflow Template
Duration:
35
Hours (days:
5
)
Camera Icon - Education X Webflow Template
Training customized to your needs
Star Icon - Education X Webflow Template
Immersive hands-on experience in a dedicated setting
*Price can range depending on number of participants, change of outline, location etc.
Get Quote

Master new skills guided by experienced instructors from anywhere.

4.962€*
Graph Icon - Education X Webflow Template
Level:
intermediate
Clock Icon - Education X Webflow Template
Duration:
35
Hours (days:
5
)
Camera Icon - Education X Webflow Template
Training customized to your needs
Star Icon - Education X Webflow Template
Reduced training costs
*Price can range depending on number of participants, change of outline, location etc.
Get Quote