Pankaj Maheshwari

The Python Programming for Finance program is designed to provide structured learning and hands-on experience with a strong focus on its applications in the finance industry. It blends fundamental programming concepts with practical financial use cases, ensuring that you not only learn the basics of Python but also understand how to apply these skills to real-world financial tasks.

This program meets the requirements of institutions requiring Python coding for quantitative development—building institution-level scripts that satisfy both operational efficiency and automation standards. Master Python fundamentals and object-oriented programming, progress to data analytics with Pandas and NumPy for processing data and performing computations, advance to process automation, creating scheduled workflows and data pipelines, and implement parallel processing to enable overnight calculations and processes at scale. Develop production-level code that integrates with market data platforms and pricing and risk systems, real-time computations supporting trading and risk management.

Ideal for: Financial Analysts, Quant Risk Analysts, Post-Grad Students, and Working Professionals preparing for roles in: Banks, Investment Firms, Asset Management Companies, Consulting Firms, Mutual Funds and Hedge Funds, and Other Financial Institutions.

Modules:

01. Python Fundamentals and Data Structures

02. Control Flow Statements and Exception Handling

03. OOP Concepts for Advanced Programming

04. Data Analytics, Automation, and Multi-Core Processing

05. Python Integrated Mathematics, Statistics, and Finance

Prerequisites: No Prerequisites | Duration: ~30 hrs + 5 hrs for [CV Preparation, Profile Optimization] + 2.5 hrs for [Mock Interviews] | Mode: Live (Instructor-led) and Recorded (Self-Paced)

Includes: Get Started with Anaconda Navigator: Installation Guide, Introduction to Anaconda Navigator, and Introduction to Jupyter Notebook