Course Overview

This course combines Data Analytics with Generative AI to enhance automation, predictive modeling, and decision-making. Participants will master data wrangling, EDA, visualization, statistical analysis, and machine learning while leveraging GenAI for trend analysis and forecasting. Designed for aspiring data analysts and business professionals, this hands-on program equips learners with AI-driven insights for smarter and more efficient data analysis.

What you will learn

  • Learn Advanced Data Analytics Skills - Master Data Cleaning, Visualization, SQL, Python for Data Analysis, and Business Intelligence Tools.

  • Hands-On Learning with 20+ Real-World Projects Gain practical experience by analyzing real datasets and building interactive dashboards using Excel, Power BI, and SQL.

  • Learn from Industry Experts - Get personalized mentorship from seasoned data professionals with real-world expertise.

Instructor(s)

Nimisha Pandey

Trainer

Nimisha is a practitioner and passionate educator who actively builds and teaches predictive, prescriptive, generative, and agentic AI systems. With nearly a decade of experience, she blends real-world engineering expertise with a strong commitment to making advanced AI concepts intuitive and applicable for learners at all levels. She has trained teams across multiple Fortune 500 companies, helping them adopt modern AI tools, automation techniques, and responsible deployment practices. As an engineer, she has architected and developed conversational applications and workflow automations using multi-agent frameworks, enabling organisations to operationalise AI at scale. Her technical toolkit spans Python, SQL, and cloud platforms including Microsoft Azure, AWS, and Google Cloud, where she is adept at deploying end-to-end AI solutions. She is also skilled with Power BI, Copilot Studio, n8n, and leading agentic frameworks such as AutoGen and CrewAI—leveraging them to design practical, production-ready systems.

Shubham Pandey

Trainer

Shubham is a senior AI leader and practitioner with 15+ years of experience designing and deploying enterprise-scale AI systems spanning predictive intelligence, large generative models, RAG architectures, and multi-agent frameworks. His work consistently bridges cutting-edge research with real-world, production-grade implementation. With deep hands-on expertise in machine learning, LLM engineering, and applied data science, he has built scalable AI platforms that deliver measurable business outcomes—from forecasting and decision intelligence to generative automation and autonomous workflows. A passionate educator, Shubham teaches Statistics, Machine Learning, Deep Learning, Generative AI, and agentic system design with a strong emphasis on practical, industry-ready application. His training programs delivered to Fortune 500 organizations and global engineering, data, and product teams have upskilled thousands of professionals and accelerated enterprise AI adoption.