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    Course Description

    In today’s digital world, data is everywhere β€” and companies want experts who can turn that data into smart ideas.
    At Grandeur Net Academy, we bring you the Data Analytics Course Using Generative AI in Dehradun, designed to help you learn how data and AI work together to solve real problems.
    This course is for students, working professionals, and beginners who want to understand modern data tools, AI technology, and business intelligence β€” all in one simple, practical course.

    Course Features
    • Job Assistance: 100%
    • Total Modules: 8+
    • Tools Covered: 8+
    Additional Benefits
    • PDP Sessions: 15+
    • Projects: 5+
    • LMS Access: 1yr

    Course Curriculum

    Comprehensive curriculum designed to make you industry ready with hands-on projects and real-world scenarios.

    8

    Modules

    8+

    Lessons

    5+

    Projects

    2 Months

    Duration

    1. What is Generative AI?
    10 min
    2. Types of Generative Models (Text, Code, Data, Image)
    10 min
    3. Role in Data Analytics and Data Science Workflows
    10 min
    4. Hands-on Tools: ChatGPT (Pro), Pandas AI, Quadratic.ai, and other open-source LLMs.
    10 min
    5. Outcomes: Understand where GenAI fits into data analysis pipelines.
    10 min
    1. Prompt engineering basics and Prompt tuning tips.
    10 min
    2. Few-shot vs Zero-shot prompting.
    10 min
    3. Use tools like Midjourney Prompt Helper for
    10 min
    4. Midjourney Prompt Helper: Simplifies prompt creation.
    10 min
    5. Practice Tools: ChatGPT, OpenPromptStudio (Midjourney).
    10 min
    6. Crafting effective prompts for EDA, cleaning, and summarization.
    10 min
    7. Activities: Prompt experiments for summarizing CSVs, detecting issues.
    10 min
    1. Natural language to code for EDA.
    10 min
    2. Insight generation from datasets.
    10 min
    3. Free Tools: PandasAI, HuggingChat, Quadratic.ai
    10 min
    4. Hands-on: Upload CSV to Quadratic β†’ Ask questions β†’ Get insights/code in Python.
    10 min
    5. Hands-on: Load a CSV into a Pandas DataFrame β†’ Use PandasAI to ask questions β†’ Receive insights or auto-generated Python code using prompts.
    10 min
    1. Detecting and handling missing/outlier data.
    10 min
    2. Using spreadsheet+AI to preview fixes.
    10 min
    3. Tools: PandasAI, ChatGPT, Quadratic.ai, HuggingChat and other LLMs.
    10 min
    4. Hands-on: Use Quadratic to clean data using formulas and Python code.
    10 min
    5. Hands-on: Use PandasAI to detect outliers, and handle missing values using prompts.
    10 min
    1. Prompt-based chart generation.
    10 min
    2. Data storytelling using AI.
    10 min
    3. Tools: ChatGPT, Quadratic.ai
    10 min
    4. Hands-on: Use Quadratic to create charts from prompts
    10 min
    1. Explaining and optimizing code
    10 min
    2. Converting spreadsheet formulas to Python code
    10 min
    3. Tools: ChatGPT, CodeGeeX, Quadratic.ai
    10 min
    4. Hands-on Activities:
    10 min
    5. Use GenAI to refactor logic, generate explanations.
    10 min
    6. Use ChatGPT to debug and improve existing Python code.
    10 min
    7. Ask GenAI to convert complex Excel formulas into equivalent Python functions.
    10 min
    8. Use Quadratic.ai to interactively test, edit, and refine code in a spreadsheet.
    10 min
    1. Generate SQL queries from text.
    10 min
    2. Bring SQL results into spreadsheets.
    10 min
    3. Tools: CSQLChat, Text2SQL.ai, Quadratic.ai
    10 min
    4. Hands-on: Use Quadratic to perform table joins, filters, summaries using GenAI.
    10 min
    5. Hands-on: Use Text2SQL.ai to generate complex queries using basic prompts.
    10 min
    1. Two Capstone Projects.
    10 min
    2. Use at least two or more GenAI tools.
    10 min
    3. Final output: Spreadsheet + Notebook + charts + summary report.
    10 min
    4. Build report presentation using Presentation.ai (paid).
    10 min
    5. Capstone Projects Examples:
    10 min
    6. Sales Performance Dashboard with GenAI.
    10 min
    7. Survey Insights Automation Tool.
    10 min

    Student Reviews

    What our students say about this course.

    What Is Generative AI and Why Is It Important in Data Analytics?

    Generative AI is a type of artificial intelligence that can create new content, like text, reports, images, or even insights β€” by learning from data.
    When combined with Data Analytics, Generative AI helps automate many steps β€” from cleaning data and writing summaries to predicting business trends.
    This means companies save time, make smarter decisions, and improve performance.
    That’s why learning Data Analytics using Generative AI is one of the most valuable skills today.

    Why Choose Grandeur Net Academy for Data Analytics Training Using Generative AI in Dehradun?

    Grandeur Net Academy is one of the most trusted training institutes in Dehradun for data and IT courses.
    We believe learning should be simple, hands-on, and focused on real results.

    Here’s why students call us the Best Generative AI Course in Dehradun:

    1. Learn from Certified Industry Experts

    Our trainers are professionals who work with data analytics, AI tools, and automation. They teach complex topics in easy steps so that even beginners can understand quickly.

    2. Practical, Project-Based Learning

    You will not just study theory β€” you will practice data analytics using real-world projects, AI tools, and business data sets.

    3. Generative AI Tools and Live Demos

    We use modern AI tools like ChatGPT, Bard, and Python-based AI libraries to teach you how Generative AI supports data analytics in real life.

    4. Placement Support and Career Guidance

    Our Data Analytics Course in Dehradun With Placement Support helps you get ready for jobs. We help with resume writing, interview preparation, and connecting with hiring companies.

    5. Flexible Learning Options

    You can join online or offline classes, choose your batch timings, and learn at your own speed.