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Guide available - overview for this course.
Overview for Analytics Computing with Python.
Analytics Computing with Python is a 2-credit Skill Enhancement Course (SEC) under Delhi University's UGCF/NEP 2022. It is offered across BA, BSc and BCom programmes, usually in Semester 3 to 5 depending on your college. Foundational data analytics using Python. This page brings together syllabus, previous year papers and study material in one place so you can see the taught order and the exam pattern together.
What you will study (broad UGCF outline — verify from your college): The DU syllabus is organised into four units. For Analytics Computing with Python, the broad coverage is:
Exam pattern & marking: The paper is typically theory plus practical/internal assessment — often 50-75 marks theory with 25 marks internal/practical, or 2-credit evaluation via continuous assessment, presentations and a semester-end exam. Questions are a mix of short notes (5-6 marks) and applied long answers (10-15 marks) drawn directly from the four units. Examiners look for unit-wise structure, one relevant example or tool per answer, and a clear conclusion. For practical SECs, viva and file work carry significant weight.
How to prepare & what is missing: Start with the syllabus Units 1-4 listed above, then solve the PYQs shown on this page side-by-side to mark which unit each question came from. That 10-minute mapping tells you which units repeat most (usually the middle units). Right now the IMP questions / detailed notes PDF for this paper may not be uploaded yet — the list below shows what is currently available. If your college shares the official IMP Q&A PDF, it will automatically appear in the list above with an IMP Q tag.
Official sources: University of Delhi · DU Exam Portal · your college's SEC syllabus handout.
