Computer Science & SQL Mastery
Master binary/CSV file handling, Stacks, Networking protocols, Pandas DataFrames, and complex SQL Group-By / Joins.
- Output Tracing & Error Spotter Drills
- Complete Python-MySQL Practical File
Designed cleanly for high-ambition Class 11โ12 students. Master CBSE Computer Science (083), Informatics Practices (065), AI (843), and PCM concepts while shipping Python-MySQL architectures, ML notebooks, and verified GitHub profiles for IIT, BITS & global universities.
Sharp, distraction-free mentorship engineered around Board Theory, Practical Viva, and University Admissions.
Master binary/CSV file handling, Stacks, Networking protocols, Pandas DataFrames, and complex SQL Group-By / Joins.
Lock in Integration, Differential Equations, Electromagnetism, and Organic reaction mechanisms without crowded batches.
Ship Scikit-Learn predictive models, documented GitHub repos, and Learning Passportโข credentials admissions panels trust.
Complete exam blueprint coverage ensuring 98%+ theory accuracy and 30/30 practical viva perfection.
| Subject Track | Theory Weightage | Core Technical Units | Practical & Viva Focus (30 Marks) |
|---|---|---|---|
| CS (Code 083) | 70 Marks Theory | Functions, Exception Handling, Text/Binary/CSV Files (40M) โข Stacks & Networks (10M) โข RDBMS & MySQL Joins (20M) | Python-MySQL Fullstack Project + Live SQL Queries + Mock Viva |
| IP (Code 065) | 70 Marks Theory | Pandas Series & DataFrames, Matplotlib Plots (25M) โข SQL Aggregates/Order-By (25M) โข Web/Societal Impacts (20M) | CSV Dataset Analytics Report + SQL Report + Practical Viva |
| AI (Code 843) | 50 Marks Theory | Capstone Methodology, Linear Regression, Train-Test Split, RMSE, Computer Vision & Big Data | End-to-End Scikit-Learn Predictive Capstone + Model Storytelling |
| Class 12 Maths/Phy | 70โ80 Theory + Practical | Continuity, Integration, Matrices, Vectors โข Electrostatics, Ray Optics, AC Circuits, Semiconductors | Board Derivation Mastery + 5-Mark Case Studies |
Projects engineered beyond textbook templates โ ready for external practical examiners and college admissions.
Normalized 4-table MySQL schema connected via mysql.connector, complete with binary audit logging and printable receipts.
Cleaned 12,000-row public CSV dataset using Pandas DataFrames and rendered Matplotlib multi-series growth projections.
Evaluated eye-aspect-ratio thresholds across 1,500 test frames with confusion matrix precision metrics on GitHub.
Pair 1-on-1 Board Theory & CS/IP/AI Practical file coaching with an authentic GitHub Engineering Portfolio for IIT/BITS & US/UK admissions.
Pre-college, JEE/CUET scheduling, and CBSE practical clarity.