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Advanced Data Analytics with Python & Business Intelligence

Advanced Data Analytics with Python

Advanced Data Analytics with Python & Business Intelligence

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
3 Month Program
120 Hours
Certificate
4.8 (230+ Reviews)
250+ Learners Enrolled

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    What This Course Covers

    • Advanced Python for Analytics – Master Python, NumPy, Pandas, data manipulation, automation, and analytical programming.
    • Data Cleaning & Transformation – Prepare, clean, merge, transform, and validate complex datasets for accurate analysis.
    • Advanced SQL for Analytics – Work with complex queries, joins, CTEs, window functions, optimization, and large datasets.
    • Business Intelligence with Power BI & Tableau – Build interactive dashboards, data models, KPIs, reports, and business insights.
    • Statistics & Predictive Analytics – Apply statistical analysis, regression, forecasting, hypothesis testing, and predictive techniques.
    • Real-World Analytics Projects – Solve business problems using Python, SQL, Power BI, Tableau, and data-driven decision-making.

    Program Details

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

    Course Fee

    Offer Fee

    Save ₹2,000 (off)
    ₹22,999 Instant Enrolment

    Regular Fee

    ₹24,999 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

    ✓ Explain the difference between AI, machine learning and generative AI and describe how these technologies work in everyday life
    ✓ 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.
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    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

    The course is designed for Data Analysts, MIS Professionals, BI Developers, working professionals, graduates and career switchers with basic knowledge of Excel, SQL and data analytics.

    Basic Python experience is not required. The course includes a Python fundamentals review covering functions, OOP basics, file handling and other programming concepts.

    The course covers Python, Jupyter Notebook, Pandas, NumPy, Matplotlib, Seaborn, SQL, Power BI, Tableau, Git and GitHub.

    Yes. The course covers advanced Power BI features such as DAX, time intelligence and Row-Level Security, along with Tableau dashboards, calculated fields, parameters and introductory LOD expressions.

    Ready to Build Your Career in Generative AI?

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