Program Overview
Transform your financial data analysis capabilities with our expert-led training program! This intensive 3-day offline course is designed to provide finance professionals, analysts, and decision-makers with advanced techniques for extracting insights from financial data using modern analytical tools.
Why Attend?
- Master advanced data analysis techniques for financial applications
- Learn to visualize complex financial data effectively
- Gain hands-on experience with industry-standard tools
- Practical case studies from real financial scenarios
Who Should Attend?
- Financial Analysts
- Investment Professionals
- Risk Managers
- Data Scientists in Finance
- Business Intelligence Professionals
- Finance Managers
Key Highlights
- Advanced Analytical Techniques - For financial data
- Data Visualization - Communicate insights effectively
- Hands-On Exercises - Real financial datasets
- Predictive Modeling - For financial forecasting
- Expert-Led Sessions - Learn from industry practitioners
- Case-Based Learning - Real-world applications
- Certificate of Completion - Enhance your credentials
- Comprehensive Materials - Tools and reference guides
Program Schedule
Day 1: 23rd March 2026 - Financial Data Foundations
- 09:30 AM – 11:00 AM: Financial Data Analysis Fundamentals (Market, Credit, Risk Data)
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Data Quality Assessment & Cleaning Techniques
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Time Series Analysis for Financial Markets
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Hands-on: Preparing Financial Datasets for Analysis
Day 2: 24th March 2026 - Advanced Analytical Methods
- 09:30 AM – 11:00 AM: Statistical Modeling for Financial Decisions
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Machine Learning Applications in Finance
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Interactive Financial Dashboards & Visualization
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Workshop: Building Financial Performance Dashboards
Day 3: 25th March 2026 - Predictive Analytics & Applications
- 09:30 AM – 11:00 AM: Predictive Modeling for Market Trends
- 11:00 AM – 11:15 AM: Coffee Break
- 11:15 AM – 12:45 PM: Risk Assessment & Portfolio Optimization
- 12:45 PM – 01:45 PM: Lunch Break
- 01:45 PM – 03:15 PM: Real-world Case Studies (Trading, Banking, Insurance)
- 03:15 PM – 03:30 PM: Short Break
- 03:30 PM – 05:00 PM: Capstone Project Presentations & Certification
All sessions include hands-on exercises using Python/R with real financial datasets (stock market, banking, insurance). Participants should bring laptops with required software pre-installed.
Meet Your Program Director
Prof. (Dr.) Brajesh Kumar
Professor of Economics | Data Scientist | GST Expert | Program Director, MBA (Financial Management) | Data Scientist | Machine Learning Architect | Computational Econometrician | Chief Editor, NIFM Journal of Public Financial ManagementProf. (Dr.) Brajesh Kumar, a distinguished academician with ~28 years of experience, serves as Professor of Economics and Program Director (MBA-FM) at AJNIFM. He holds advanced degrees in Economics, Business Analytics, and Computer Applications, and is a certified Lean Six Sigma Black Belt. His expertise spans GST, data science, machine learning, and computational econometrics.
A prolific trainer and consultant, Dr. Kumar has led 220+ MDPs, advised government bodies on taxation and finance, and contributed to national and international research projects. He has represented India at global academic forums and developed digital governance tools using PHP, MySQL, and AI-based analytics.
"The Advanced Financial Data Analytics program completely transformed how we approach financial data in our organization. The techniques we learned have improved our forecasting accuracy by 30% and significantly enhanced our reporting capabilities."
Program Details
Dates: 23rd March 2026 – 25th March 2026
Duration: 3 Days | 6 Hours of Expert-Led Training Daily
Mode: Offline (Venue: Hall 3 (Main Campus))
Program Director: Prof. (Dr.) Brajesh Kumar
Fees: ₹27,000 per participant
Includes comprehensive study materials, software access, and certificate
Group discounts available for 3+ participants
Status: Open for Registration
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Contact Information
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Fee: ₹27,000
Registration Form
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