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Master Data Analytics with Generative AI

Master Data Analytics with Generative AI

Master Data Analytics with Generative AI Course

The Master Data Analytics with Generative AI course covers the complete journey from data analytics fundamentals to AI-assisted business analysis. You’ll learn Excel, SQL, Python, Pandas, NumPy, Power BI and Tableau for data cleaning, analysis, visualisation and dashboard development. The course then introduces Generative AI for Data Analytics, including AI-assisted SQL, Python, reporting, data insights and workflow automation. It also includes business case studies, practical projects and an end-to-end capstone project.

Key Takeaways

Live Online
Classes
5 Month Program
200 Hours
Certificate
4.8 (230+ Reviews)
250+ Learners Enrolled

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    What This Course Covers

    • Data Analytics Fundamentals – Learn data analysis, KPIs, business intelligence, and data-driven decision-making.
    • Python, Excel & Power BI – Analyze, clean, transform, and visualize data using Python, Excel, and Power BI.
    • Generative AI for Analytics – Use ChatGPT, Gemini, and AI tools to analyze datasets, generate insights, and automate tasks.
    • AI-Powered Data Cleaning & Automation – Automate data preparation, SQL queries, reporting, summaries, and repetitive analytics workflows.
    • Advanced Visualization & Insights – Build interactive dashboards, identify trends, generate reports, and communicate insights effectively.
    • Real-World AI Analytics Projects – Apply analytics and Generative AI to business datasets and build practical, job-ready projects.

    Program Details

    Duration
    3 Months
    Total Hours
    120 Hours
    Per Week (Alternative Days)
    5 Days
    Total Classes
    12 Classes
    Hours per Class
    2 Hours
    Total Modules
    14 Modules

    Course Fee

    Offer Fee

    Save ₹5,000 (15% off)
    ₹39,999 Instant Enrolment

    Regular Fee

    ₹44,999 Full Payment
    Enroll Now → Download Brochure
    Live Online Instructor-Led Classes
    Doubt Support & Mentorship
    Practical Assignments After Every Module
    Industry Projects & Capstone Project
    Course Completion Certificate
    Lifetime Access to Learning Resources

    Course Curriculum

    12 Modules 2 Levels

    Learning Outcome

    ✓ Understand the complete data analytics workflow, from business questions and data collection to reporting.
    ✓ Use Excel, SQL and Python to clean, transform and analyse business data.
    ✓ Work with Pandas, NumPy, Matplotlib and Seaborn for analysis and data visualisation.
    ✓ Build interactive dashboards using Power BI and Tableau, including DAX, data modelling and reporting.
    ✓ Use Generative AI tools to support tasks such as SQL, Python, data cleaning, documentation, reporting and insight generation.
    ✓ Complete an end-to-end AI-powered business analytics project using data analysis, dashboards and AI-assisted insights.
    Start Your Generative AI Journey Today →

    Who Should Enrol?

    Students & Freshers
    Working Professionals
    Software & Python Developers
    Entrepreneurs & Founders
    Data Analytics & Data Scientists
    Digital Marketers & Content Creators
    AI/ML Engineers
    Researchers & Educators

    Course Highlights

    Live Instructor-Led Online Classes
    Guided Activities and Real World Tasks
    Assignments After Every Major Module
    Capstone Assessment and Certificate
    Doubt Support and Mentorship
    Small Batch Size for Better Attention
    Our FAQ

    Frequently Asked Questions

    Find clear answers to common questions about the Generative AI course, including coding requirements, practical learning, prompt engineering, AI tools, career applications, assignments, assessments, and the skills you can develop after completing the program.

    Contact Us

    Yes. The course starts with data analytics fundamentals and introduces Excel, SQL and Python progressively. No prior programming or data analytics experience is required.

    The course covers Excel, Power Query, SQL, Python, Pandas, NumPy, Matplotlib, Seaborn, Power BI, Tableau and Generative AI tools such as ChatGPT, Claude, Gemini, Copilot, Perplexity and NotebookLM.

    The course covers practical uses such as AI-assisted Excel formulas, SQL generation and optimisation, Python code assistance, data cleaning, dashboard recommendations, report writing and insight generation.

    Yes. The course includes case studies covering retail, banking, healthcare, HR, marketing, finance, e-commerce and supply chain analytics.

    Ready to Build Your Career in Generative AI?

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