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Courses > Generative AI > Gen AI for Data Science

Gen AI for Data Science

Analyze โ€ข Visualize โ€ข Predict

Students learn how to think like real data scientists โ€” from understanding raw data to building intelligent models. Using Generative AI, they analyze datasets, discover patterns, create visual insights, and make predictions on real-world problems.

No prior coding or math experience required. Designed for beginners.

Suitable for

Grades 5โ€“12

Program Delivery

Online

Certification

Provided

Duration

14 Sessions

Program

10+ activities & projects

What students will learn in this course

  • Understand how real-world data works and how datasets are structured
  • Clean messy data by handling missing values, duplicates, and inconsistencies
  • Analyze data using statistics like mean, correlation, and patterns
  • Create powerful visualizations like charts, graphs, and heatmaps
  • Understand Machine Learning โ€” regression vs classification
  • Train real ML models and make predictions
  • Evaluate models using accuracy, precision, recall, and F1 score
  • Understand how AI works in computer vision and speech recognition
  • Solve a complete real-world problem end-to-end using AI

Course Sessions

Projects students build

Student Performance PredictorMachine Learning & Prediction

Student Performance Predictor

Students clean and analyze a real dataset of student performance, then train a machine learning model to predict whether a student will pass or fail based on factors like marks, attendance, and homework.

AI Data Cleaning EngineData Cleaning & Preparation

AI Data Cleaning Engine

Students work with messy real-world datasets and use AI to identify missing values, remove duplicates, fix incorrect labels, and prepare clean data ready for analysis and modeling.

Visual Insights DashboardData Analysis & Visualization

Visual Insights Dashboard

Students create powerful visualizations including bar charts, histograms, scatter plots, and heatmaps โ€” then use AI to generate clear, human-readable insights from the data.

House Price Prediction ModelRegression & Modeling

House Price Prediction Model

Students build a regression model to predict house prices using real-world data, understanding how features like location and size influence predictions.

Diabetic Retinopathy DetectionHealthcare AI

Diabetic Retinopathy Detection

Students build a computer vision model that analyzes retinal images to detect signs of Diabetic Retinopathy, understanding how AI is used in healthcare to identify eye diseases early.

Speech-to-Text AnalyzerSpeech Recognition

Speech-to-Text Analyzer

Students use AI to convert speech into text, analyze voice inputs, and explore how real-world systems like voice assistants and transcription tools work.

Simple & Transparent Pricing

One-hour live 1:1 sessions. No hidden fees.

Starter Plan

โ‚น2299

โ‚น1149 / session

14 Live Sessions โ€” Complete Course

1:1 Personalized Learning

  • 1:1 live instructor-led learning
  • Personal mentor focused on mastery
  • Sessions tailored to your learning pace
  • Flexible scheduling for students
  • Build and deploy a real AI-powered website
4.9/ 5 ยท 80+ reviews

Loved by students & trusted by parents

Vivaan Kapoor

Vivaan Kapoor

Grade 7 Student

4.9

I learned how to clean real data and even built a model to predict results. It felt like solving real problems, not just learning theory.

Aisha Rathi

Aisha Rathi

Grade 6 Student

4.8

Making charts and understanding patterns was my favourite part. AI helped me understand data in a really simple way.

Suresh Nair

Suresh Nair

Parent

5

My child now understands how data works and can even explain machine learning concepts clearly. The improvement in analytical thinking is amazing.

Mihir Joshi

Mihir Joshi

Grade 8 Student

4.8

Training my first model and seeing predictions actually work was the best part. It made me feel like I built something real with AI.

Frequently Asked Questions

Students work on real-world datasets and build projects like data cleaning systems, visual dashboards, and machine learning models. By the end, they complete an end-to-end data science project where they analyze data, generate insights, and make predictions.

This course includes:

  • 14 live 1-on-1 instructor-led sessions (60 mins each)
  • Learn with an experienced Gen AI mentor
  • Hands-on project every session
  • Lifetime access to course content
  • Unlimited 1:1 live doubt sessions
  • Live 1:1 class recordings
  • Parent-Teacher Meeting (PTM) where students showcase their projects and progress
  • Certificate of completion