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Grade: Class 8 Total Sessions: 54 Sessions (Ideal & balanced) Session Duration: 60 minutes Mode: Online / Hybrid Aligned With: NCERT / CBSE / ICSE core syllabus Teaching Style: Concept → Visual → Practice → Application
Grade: Class 6 Total Sessions: 48 Sessions Session Duration: 60 minutes Mode: Online / Hybrid Approach: Concept → Visual → Practice → Real-life Use Style: Simple language, stories, games & hands-on learning
Think • Solve • Apply • Enjoy Math! Grade: Class 5 Duration: 30 Days Mode: Online / Offline Teaching Style: Concept clarity + practice + real-life application Syllabus Alignment: CBSE / ICSE / State Board
Understand • Practice • Apply • Enjoy Math! Grade: Class 4 Duration: 30 Days Mode: Online / Offline Teaching Style: Concept clarity + practice + real-life examples Syllabus Alignment: CBSE / ICSE / State Board
Understand • Practice • Apply • Enjoy Math! Grade: Class 3 Duration: 30 Days Mode: Online Approach: Concept clarity + practice + real-life application Alignment: CBSE / ICSE / State Board core syllabus
Learning Math Through Play, Stories & Smiles! 😊 Math Fundamental Concepts Class 1 Online
Age Group: 13–16 Years Level: Advanced Total Sessions: 90 Mode: Online
Age Group: 13–16 Years Level: Intermediate Total Sessions: 72 Mode: Online / Hybrid ✅ Who This Course Is For Students who completed Beginner AI/ML Or students with basic Python knowledge Curious minds who want to build real AI systems
Age Group: 10–12 Years Level: Beginner Total Sessions: 45 Mode: Online / Hybrid 🛠 Tools Kids Will Use Visual AI tools • Block-based ML • Beginner Python (guided & friendly) 📌 No Prior Experience Needed No AI, ML, or advanced coding knowledge required.
Age Group: 13–16 Years Level: Advanced Total Sessions: 90 Mode: Online / Hybrid 🛠 Tools Kids Will Use Python • Pandas • NumPy • Matplotlib • Seaborn • Scikit-learn (guided) • Streamlit (intro) • Real-world datasets 📌 Pre-requisite Intermediate Data Science (Python basics, Pandas, charts, statistics, basic ML ideas)
Age Group: 13–16 Years Level: Intermediate Total Sessions: 60 Mode: Online / Hybrid Tools Used: Python, Jupyter Notebook, Pandas (guided), Matplotlib (visual) Pre-requisite: Beginner Data Science (Data basics, charts, averages, basic Python lists)
