Packt has recently published a video,Hands-on Python for Finance , which will practically guide to use data-driven algorithms in Finance.
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.
What You Will 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
Author
Matthew Macarty
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.
Packt has recently published a video,Machine Learning for Algorithmic Trading Bots with Python which will help Financial practitioners to study machine learning and algorithmic trading.
This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning.
What You Will Learn
- You will learn about financial terminology and methodology and how to apply them
- Get hands-on financial data structures and financial machine learning
- Understand complex financial terminology and methodology in simple ways
- Ensemble models and cross-validation for financial applications
- Backtesting for models and strategies evaluation and validation
- Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum
- Putting machine learning into real world problems and derive solutions
Author
Mustafa Qamar-ud-Din
Mustafa Qamar-ud-Din is a machine learning engineer with over 10 years of experience in the software development industry. He is a specialist in image processing, machine learning and deep learning. He worked with many startups and understands the dynamics of agile methodologies and the challenges they face on a day to day basis. He is also quite aware of the professional skills which the recruiters are looking for when making hiring decisions.
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.
What You Will 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
Author
Matthew Macarty
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.
Packt has recently published a video,Machine Learning for Algorithmic Trading Bots with Python which will help Financial practitioners to study machine learning and algorithmic trading.
This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning.
What You Will Learn
- You will learn about financial terminology and methodology and how to apply them
- Get hands-on financial data structures and financial machine learning
- Understand complex financial terminology and methodology in simple ways
- Ensemble models and cross-validation for financial applications
- Backtesting for models and strategies evaluation and validation
- Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum
- Putting machine learning into real world problems and derive solutions
Author
Mustafa Qamar-ud-Din
Mustafa Qamar-ud-Din is a machine learning engineer with over 10 years of experience in the software development industry. He is a specialist in image processing, machine learning and deep learning. He worked with many startups and understands the dynamics of agile methodologies and the challenges they face on a day to day basis. He is also quite aware of the professional skills which the recruiters are looking for when making hiring decisions.