Turn Data into Business Intelligence

PG Diploma in AI & Data Science (For Commerce Graduates)

Overview

About the Program

The PG Diploma in AI & Data Science (Commerce Track) by Edutecnicia is a career-focused program designed for commerce, finance, and management graduates who aspire to work in data analytics, business intelligence, and applied AI roles.
This program bridges the gap between business knowledge and modern AI tools, with strong emphasis on practical learning and real-world applications.

Who Should Enroll
Course Fee

₹60,000 + 18% GST
Total: ₹70,800
(Includes training, labs, certification & internship support)

Program Highlights
Duration & Format
  • 2 Months | 100 Hours
  • Monday to Friday | 2.5 hours/day
  • Offline classroom sessions
  • 1 Month | 100 Hours
  • Industry-oriented projects with real datasets
Curriculum Snapshot

Programming & Data Handling

Python basics, Pandas, NumPy, data cleaning & visualization

Statistics for Business Analytics

Probability, hypothesis testing, regression, forecasting

Machine Learning for Business

Customer segmentation, fraud detection, predictive analytics

Deep Learning & AI Applications

Neural Network Fundamentals, Intro to CNNs & RNNs, NLP basics and sentiment analysis, Generative AI (LLMs, GANs) & responsible AI

Capstone Project

End-to-end AI project with business use case

Tools & Platforms
Internship Experience
  • Mentored 1-month industry internship
  • Work on analytics dashboards, AI models, or automation
  • Final project presentation & certification
Career Opportunities
  • Data Analyst
  • Business Analyst
  • AI Analyst
  • Junior Data Scientist
  • Analytics Consultant
  • Resume & portfolio development
  • Interview preparation
  • Guaranteed interview opportunities
Course Fee

₹60,000 + 18% GST
Total: ₹70,800
(Includes training, labs, certification & internship support)

Why Edutecnicia?

Designed exclusively for commerce graduates, this program focuses on business relevance, clarity, employability, and industry readiness—without the need for an engineering background.

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