Quantumpulse Learning Platform

Data Analytics with Generative & Agentic AI

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About Course

417+ Hours of Learning | 11+ Real Projects | 15+ Tools & Tech | 100% Career Ready

A course by: quantumpulse.in

🎯 Program Objectives
This program aims to equip learners with end‑to‑end analytical and AI‑driven problem‑solving skills required in modern data roles. Key objectives include:
– Building strong foundations in data analytics, statistics, and visualization.
– Developing proficiency in Python, SQL, BI tools, and analytics workflows.
– Applying Generative AI and LLMs for automation, insight generation & personalization.
– Understanding Agentic AI systems for self‑adaptive analytics solutions.

🛠️ Tools Covered
Excel, Python, SQL, Power BI, Tableau, NumPy, Pandas, Matplotlib, Seaborn, Hugging Face, Transformers, LangChain, OpenAI APIs, GitHub, Kaggle

🎯 Skills Covered
– Data Cleaning & Wrangling: Master data preprocessing and transformation.
– Statistical Analysis & Modeling: Predictive modeling and hypothesis testing.
– Data Visualization: Dashboard development and reporting.
– Business Intelligence: BI tools and business reporting.
– Python Programming: Analytics and automation.

Industry Validated | Placement Assistance | Live Mentorship

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What Will You Learn?

  • This program is designed to equip participants with comprehensive, end-to-end analytical and AI-driven problem-solving skills essential for success in today’s data-centric roles.
  • The key learning objectives include:
  • Building a strong foundation in data analytics, statistics, and data visualization
  • Developing proficiency in Python, SQL, Business Intelligence (BI) tools, and modern analytics workflows
  • Applying Generative AI and Large Language Models (LLMs) for automation, insight generation, and personalization
  • Understanding Agentic AI systems to create self-adaptive and intelligent analytics solutions
  • By the end of the program, learners will be able to confidently analyze complex datasets, develop AI-enhanced dashboards, and deliver actionable, data-driven strategies that drive business value.

Course Content

Module 01 – Advanced Excel
Master data analysis, formulas, pivot tables and advanced visualization in Excel

Module 02 – Statistics
Statistical modeling, hypothesis testing and data analysis fundamentals

Module 03 – Python Programming
Data science with Python, NumPy, Pandas for analytics and automation

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