Python for Finance

Python's acceptance and use as a programming language of choice has grown by leaps and bounds, particularly in areas such as data science and finance.

Python is a rapidly growing programming language that has grown in popularity among both professional programmers and other professionals who do not have prior programming knowledge but want to learn programming for use in their work. Python has a large library ecosystem that is rapidly expanding.

It is a simple language to learn, and the large number of library functions available make it very easy for people to get their work done with minimal programming effort. Many features that are typically beyond the reach and abilities of many professionals coding in other languages are easily accessible in Python.

Many complex financial problems can be easily solved using Python, which would otherwise necessitate extensive programming in other languages such as VBA or C++.

There isn't a single specialised course that teaches Python programming from the ground up with a sole focus on writing programmes for financial applications.

"I have the students learn Python in our undergraduate and graduate Semantic Web courses. Why? Because basically there's nothing else with the flexibility and as many web libraries," said Prof. James A. Hendler.

This is why the IIQF has created a course specifically designed to teach these skills. This course is intended for people who have no prior programming experience and want to learn programming in order to develop financial applications. The goal of this programme is to teach Python in a simple, lucid, and structured manner so that people with no technical or programming background can learn and use Python.

That is not to say that this knowledge cannot be applied to other areas of application such as Machine Learning or Data Science in general; rather, this is a course that anyone attempting to learn Python from the ground up can benefit from.

This programme can also help people who are already familiar with another programming language but want to learn Python right away.

The programme is taught by highly qualified and experienced market practitioners and differs significantly from any other general purpose IT programming training course taught by general IT training institutes because it focuses on teaching from the perspective of doing advanced analytics and building models for the Finance and Data Science industries.

In the Monte Carlo Simulation and Equity Options pricing implementations modules, you will also learn actual financial modelling and Python implementations.

This course is intended for people who have no prior programming experience and want to learn Python programming in order to develop financial applications.

Python Programming For Finance Course begins with learning basic programming concepts in general and then moves on to learning Python programming with a specific focus on programming for high-end investment banking financial applications so that candidates can apply their learning in the workplace.

You will also learn actual financial modelling and Python implementations for Monte Carlo Simulation and pricing Equity Options.

Program Highlights

• Learn Python programming in context of finance and development of financial applications
• Highly qualified industry practitioner faculty
• Thorough hands-on training in programming in Python
• Lucid and well-structured Curriculum, the relevant libraries and platforms

Learning Outcome:

• Write Python programs to automate complex data manipulation tasks
• Write Python programs for implementing advanced investment finance related applications
• Monte Carlo Simulation and Equity Option Pricing
• Learn to use the relevant libraries and platforms.

For more details please click on the link to download brochure