Python Recap + DS
Class 11 Python recap. Lists, dicts, stacks, queues implemented.
CBSE Class 12 Python is Python + data structures + SQL + networks. Our 1 hour live classes cover every NCERT chapter, run through 10 years of sample papers, and finish the mandatory project with a clean report and viva prep.
The CS 083 track is non-negotiable. Companion tracks for Class 12 students who want college-ready portfolio.
Board-aligned Python + Java — full syllabus, sample papers.
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Python, Pandas, SQL — exact IP syllabus, plus the practical prep.
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Zero to confident — functions, OOP, files, real mini-apps. The backbone track.
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Pandas, sklearn, neural nets — real AI projects with datasets.
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Pandas, NumPy, matplotlib, sklearn — the end-to-end data toolkit.
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Arrays, trees, graphs, DP — solved in Python. Interview foundation.
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Selenium, scripts, AI APIs — automate the boring stuff using Python.
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Deep learning, CV, NLP — college-level ML with projects.
View course →If your Class 12 CBSE student is already scoring high, skip review and go into AI/ML, DSA, or CP. Free demo places them.
Looking for more? Browse the full courses catalogue →
CS is often a top-3 marks subject. A 95 vs 85 can shift PCM+CS average and JEE Main merit picture. The paper rewards precise Python and clean SQL.
For engineering-bound students, CS is a reliably high-scoring subject. A clean 95 is well within reach.
Project + lab file + viva = 30 marks. Students neglect this and lose easy marks.
A well-written Class 12 CS project can also be used in CS-abroad college applications. Double benefit.
Each set is a full NCERT 083 unit.
Class 11 Python recap. Lists, dicts, stacks, queues implemented.
Text + binary + CSV file handling — a confusing topic simplified.
Scope, defaults, gentle recursion.
Types, topologies, internet basics. Drilled via MCQ.
SELECT, WHERE, GROUP BY, joins. Practised on a real dataset.
Topic chosen together, code reviewed, report in CBSE format, viva rehearsed.
Pauses for pre-boards and boards. Everything else steady.
Class 11 Python recap. Stacks, queues, lists. File handling covered early — it trips students otherwise.
MySQL drilled on real datasets. Project end-to-end. Both done before pre-boards.
Weekly 3-hour sample papers under timed conditions. Scored. Gaps reviewed.
During boards, no new content. On WhatsApp for last-minute doubts. After boards, pre-college sprint.
Same curriculum. Same teachers. Same recordings. The difference is whether your child learns best with one teacher's full attention, or alongside 4 to 6 classmates at their level.
One teacher, one learner, the full 1 hour. The teacher adapts pace in real time — slowing down on tricky concepts, speeding up where your child is already fluent. Best for focused learners, specific exam prep, or fastest progress.
4 to 6 students at a similar level, one teacher, 1 hour per session. Learners move faster when they see peers solve problems in different ways. Supportive, never pressured. Best if your child enjoys learning with others.
What shifts at board.
| What to expect | Class 11 | Class 12 CBSE (this page) | Class 12 IP |
|---|---|---|---|
| Main content | Python + theory | Python + DS + SQL + Networks | Python + Pandas + SQL |
| Data structures | Lists, tuples, dicts | Stacks, queues (Python) | Pandas Series / DF |
| Networks | Intro | Full chapter | Less emphasis |
| SQL weight | Medium | High | High |
| Practical weight | 30 | 30 | 30 |
| Typical topper % | 93+ | 95+ | 93+ |
Real, verified reviews from Modern Age Coders families.
Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He has started taking real interest in coding. Truly an amazing class.
My child Dhairya is really enjoying the Modern Age Coders classes. This is his first online class and he eagerly looks forward to it. I can already see his improvement, and the teachers are very cooperative and listen to our suggestions.
I am truly grateful for my experience at Modern Age Coders. My teachers were not only teachers but also mentors and friendly figures. The perks are excellent: one-on-one doubt solving, mentoring and regular tests. The most impressive part was working on real-world projects.
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