Live Introductory Workshop on 4th January - Sunday - 7pm-9pm

Build Your First Stock Market Forecast Model

Master the fundamental concepts of Data Science for Finance in just 2 hours. Start your journey into algorithmic trading.

Limited-Time Offer

₹299/- ₹999/-

Only 15 slots remaining at this price!

Why Join This Workshop?

Stop gambling on tips. Start making data-driven decisions.

  • Practical Financial ML

    Apply machine learning directly to real-world stock market data, not just theoretical datasets.

  • Industry Standard Tools

    Learn to use Python, Pandas, and Scikit-learn—the stack used by Quant Analysts globally.

  • Boost Your Portfolio

    Walk away with a project you can showcase on your resume or LinkedIn to stand out in the job market.

NO CODING EXPERIENCE REQUIRED

Masterclass Breakdown

Data Acquisition 0-30 min
Feature Engineering 30-60 min
ML Model Building 60-90 min
Live Prediction & QA 90-120 min
FREE BONUS

Exclusive Bonuses Worth ₹2,500

Register today and get these instant access resources for FREE:

🎁

Python Cheat Sheet

Specifically designed for Financial Analysts. (Value: ₹499)

🎁

Dataset API Guide

List of 10+ free sources for real-time stock data. (Value: ₹999)

🎁

Course Discount Voucher

₹1,000 OFF on our 100-hour Advanced Program. (Value: ₹1,000)

Frequently Asked Questions

Do I need to know Python before this workshop? ▼

No prior coding knowledge is required. We start from the absolute basics of Python needed for financial modeling.

Will I get a certificate for attending? ▼

Yes, all participants will receive a "Certificate of Participation" in "Introduction to Financial Machine Learning."

Is this workshop live or recorded? ▼

This is a 100% Live Workshop where you can ask questions directly to the instructor in real-time.

What if I miss the live session? ▼

All registered participants get access to the recording of the session for 3 months.

Join the Workshop Today!

Take the first step towards a 100-hour mastery in Finance & AI.

Secure payment via Razorpay / UPI