Certificate Program in Python Programming for Finance (CPPPF)

Build your career in Python Programming for Finance

Recorded Online Lectures Plus Live Doubt Clearing Sessions

Quick Facts

  • Program Duration
  • Program Schedule
  • Program Timing
  • Program Start Date

CPPPF Program | Python Programming for Finance Course 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

About Python Programming For Finance Course

Python is one of the most rapidly growing programming language and has become extremely popular with both professional programmers as well as other professionals who don't have prior programming knowledge but want to learn programming for use in their work. Python has a very rich set of libraries and that is rapidly growing. It being an easy to learn language and with the large number of library functions available withing it makes it very easy for people to get their work done with minimal programming effort. Lots of functionalities which are generally beyond the reach and abilities of many professionals coding it other languages are easily accessible in Python. So many complex problems in finance related areas can be easily solved using Python, which would otherwise require considerable amount of programming in other languages like VBA or C++. There is hardly any specialized course that teaches Python programming from basics with exclusive focus on writing programs for financial applications. This is why we have designed this course tailor-made for imparting these skills. This course is designed for people who do not have any kind of prior programming background and want to learn programming for developing applications related to finance.

The courses starts with learning the basic programming concepts in general and then learning programming using Python with specific focus on programming for high-end investment banking financial applications so that the candidates can relate their learning with their work.

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


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Who Should Attend

Participants will learn to :

  • Financial Analysts
  • Research Analysts
  • Risk Analysts
  • Credit Analysts
  • Investment Managers
  • Finance Controllers
  • Subject Matter Experts
  • Managers from corporates
  • Management students

What You Study

Participants will learn to :

  • Write Python programs to automate complex data manipulation tasks
  • Write Python programs for implementing advanced investment finance related applications
  • Learn Implementations of Monte Carlo Simulation and for pricing Equity Options in Python.

What our learners have to say...

Brief Course Outline

  • • Why python
  • • Installing Anaconda
  • • Spyder IDE
  • • Work with Spyder
  • • Jupyter notebook
  • • Learning the Syntax
  • • Number String
  • • Python Basics
  • • Operators in Python
  • • Control flow
  • • Object
  • • Collections: List, Tuple, Dictionary, Set
  • • Iterable object
  • • Iterable comprehension
  • • Important library usage: numpy, scipy, pandas
  • • Plotting with python
  • • Class and object-oriented programming with Python
  • • Monte Carlo Simulation in Python
  • • Implementing Equity Options Pricing in Python
    • o Binomial Model
    • o Black and Sholes Model

Admission Process

  • Send Your Application

  • Get on a call with a counsellor

  • Wait for Application Acceptance

  • Pay the fee & join the upcoming batch

Finance your Study

Educational Loans

We are very happy to help you progress to greater heights in your career in every way possible. Education loans availble at 0% interest for full time Indian residents. Easy EMI plans available.

Student Aid

Encourages the full time students to enter this domain, benefits, if you are still pursuing formal education.

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Get Answers

  • What qualifications are needed for this program?

    This course is intended for those who have no prior programming experience and wish to learn programming in order to create apps for the financial industry. The purpose of this program is to teach Python in a simple, understandable, and organised manner so that anyone, regardless of technical or programming background, may learn and utilise the language. The basic prerequisite will be English proficiency in both written and spoken form, basic statistical knowledge, an internet connection and working knowledge of Excel. We use a Windows-based platform to teach. Windows must be installed on "Parallels Desktop for Mac" for Mac users.

  • Can non-programmers use the program?

    There is no doubt that someone will have an edge if they have prior programming experience. However, this course has been created to teach Python in a simple, understandable, and systematic manner so that those with no prior programming or technical knowledge can learn and utilise the Python language. Therefore, having no programming experience is not an impediment as long as one is motivated to learn and is willing to make the necessary serious and sincere efforts.

  • Who should attend?

    Anyone with an interest in learning Python, especially those who want to learn the language's applications in finance, should attend. Therefore, this program can be done by fresh grads, students majoring in management, financial professionals, IT professionals, research analysts, business analysts, data scientists, traders in the financial markets, and subject matter experts.

  • How is the training conducted?

    This is an asynchronous course offered through recorded lectures plus live doubt clearing sessions.

  • What topics are covered in the course?

    A specialised course is available that starts with the fundamentals of Python programming and focuses solely on learning python to create programs for financial applications.

    It begins by explaining how to install Anaconda, then goes over the appropriate IDEs, Jupyter notebook, learning the syntax, the operators, classes, and object-oriented Python programming. It discusses using Python to implement equity option pricing and Monte Carlo simulation.

  • Who is the faculty?

    Top-notch traders, quant practitioners, and industry experts from global banks and hedge funds are the instructors for this course. The faculty team is made up of eminent traders and subject matter experts with doctoral degrees from prestigious universities and top-tier educational backgrounds from IITs and IIMs.

  • How is the after-course support?

    We believe in delivering comprehensive education, and we continue to provide support even after the course has ended. You receive unwavering assistance throughout the course as well as after it is over. Our faculty team goes above and beyond to offer all available assistance to serious students. You can email us with any questions or concerns, and we'll put you in touch with the right faculty member to get them answered.

  • Will a certificate be given out once the program is over? What are the standards for certification?

    A capstone project is due at the end of the program, and individuals who attend and pay attention in class should be able to finish it. Completing the assignment makes them eligible to get a certificate. You must therefore finish and submit the project in order to receive the certificate.

  • Is there any assistance with placement?

    All successful participants receive extensive support from our committed placement team in order to land positions in international banks, hedge funds, and trading desks at other financial institutions.

    You may work for international banks, the best hedge funds, proprietary trading desks, fund managers, Fortune 500 financial consulting firms, and top IT companies as a quant trader, an algorithm trader, a consultant, a domain specialist, or the leader of quant and trading teams.

  • What is the schedule for the course?

    The pre-recorded lecture-based curriculum is open to you at any time of the year.

  • Which payment methods do you accept?

    We accept all forms of online payment, including UPI, credit cards, debit cards, and bank transfers.

  • Why should you attend this program?

    • We will make you industry ready. Our faculty are highly qualified industry practitioners.
    • A clear and organised curriculum.
    • Extensive hands-on instruction in Python programming. Learn to Use appropriate platforms and libraries used in finance.
    • Create Python scripts to do intricate data manipulation operations automatically.
    • Create Python scripts to implement sophisticated applications linked to investment finance.
    • Acquire Python skills for Monte Carlo simulation and equity option pricing.

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