Data-Driven Investing with Python (III)

Data-Driven Investing with Python (III)

In the rapidly evolving financial industry, where data and AI play a central role in decision making, there’s a high demand for expertise in advanced data-driven investment strategies. This comprehensive training is designed for finance professionals, data scientists and advanced software professionals who want to master quantitative investment strategies using Python. It delves into sophisticated data-driven approaches using machine learning and quantitative methods for implementation and evaluation.

The course also focuses on practical applications of machine learning, including regression, classification and neural networks, to develop predictive models for stock selection and trading. Through comparative analysis of investment strategies and empirical research, participants will enhance their critical thinking and ability to evaluate the effectiveness of quantitative methods in real markets.

This training promises to equip participants with the skills to apply advanced computational techniques to investment decision-making, giving them a competitive edge and the ability to innovate in the dynamic fintech sector.

Prerequisites

  • Effective experience with Python
  • Effective understanding of financial markets and investment basics.

Check out our preparatory Python trainings for investment professionals:

Who Should Attend

  • Investment professionals who want to harness advanced Python data power tools for investments use cases
  • Investment professionals who want to build and backtest data-driven investment strategies
  • Data scientists who want to apply data-driven approaches to investment and finance
  • Advanced software engineers who want to learn how to build data-driven solutions for investment.

What You Will Learn

  • Gain a deep understanding of modern investment theory
  • How to master quantitative strategies with Python.
  • How to use advanced portfolio optimization
  • How to apply algorithmic trading and risk management to investment strategies.
  • How to analyze complex financial data sets, predict market trends and optimize investment portfolios.
  • How to visualize financial data and strategies with Python
  • How to build and share investment tools with Python

What You Will Get

  • Hands-on experience on modern skills and technologies for investment professionals
  • Real-world projects and tasks that you will connect with in your daily job
  • Extended support and mentorship as you apply what you learned to your work and business
  • Learning to harness the latest technologies and tools that are being used in the industry while gaining a solid grasp of the fundamentals and the intuition behind them
  • A comprehensive techstack for investment professionals

Training Format

  • 5 sessions of 2 hours each
  • 1 session per week

Training Language

  • English