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Technologies / Programming

Financial Data Analysis with Python

Intensive training on financial data analysis using Python that combines finance knowledge with practical programming skills. The program covers a wide range of financial analysis techniques, from basic indicators to advanced modeling and forecasting. Workshops focus on practical application of analytical tools in real financial scenarios.

Required Participant Preparation

  • Intermediate Python knowledge

  • Basic finance knowledge

  • Knowledge of statistics and financial mathematics

  • Experience in data analysis

Benefits

  • Participants will be able to use Python for advanced financial data analysis and risk modeling
  • They will gain the ability to implement and test investment strategies using programming techniques
  • They will learn to automate financial analysis processes and report generation
  • They will learn advanced financial modeling techniques and their practical applications
  • They will be able to combine various financial data sources into coherent analyses
  • They will develop skills in forecasting and investment portfolio optimization

Who is this training for?

Financial analysts
Quant Developers
Risk Managers
Data Scientists in the financial sector
Financial application developers
Financial modeling specialists

Training program

01

Financial indicators

  • Portfolio analysis
  • Instrument valuation
02

Risk management

  • Financial Data Analysis
  • Market data processing
  • Time series analysis
  • Statistical modeling
  • Financial data visualization
  • Financial Modeling
  • Option pricing models
03

Value at Risk

  • Monte Carlo simulations
  • Machine Learning in finance
  • Automation and Reporting
  • Automatic data retrieval
04

Report generation

  • Strategy backtesting
  • Portfolio monitoring
  • Risk Management and Optimization
  • Portfolio optimization
05

Stress testing

  • Scenario analysis
  • Market risk management

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The Financial Data Analysis with Python training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 5 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Financial analysts; Quant Developers; Risk Managers.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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