Introduction to Data Analytics and Visualization (BCDS501) AKTU predicted paper 2026-27
AI-predicted paper for Introduction to Data Analytics and Visualization based on 4 past papers (2023, 2024, 2025, 2026). NOT an official AKTU paper. Use as a revision tool only.
Paper pattern
- Section A: Attempt all questions. (14 marks)
- Section B: Attempt any THREE questions out of five. (21 marks)
- Section C: Attempt ONE question from each pair (a or b). (35 marks)
Why these questions
- Unit 1 (Introduction to Data Analytics) dominates — 21% avg weightage
- Asked every year: Analytics Foundations, Analytics Lifecycle
- Due for comeback: Neural Networks, Fuzzy Logic
- Low priority (never asked): Support Vector Methods, Large Data Handling
- Most repeated topic: Analytics Foundations
Section A – 2-mark questions
- Define Data Analytics and explain its importance in decision making.
- Compare and contrast Bayesian modeling with neural networks in terms of their applications.
- What is sentiment analysis?
- List various methods of clustering.
- List any two visualization tools.
- Differentiate between structured, semi-structured and unstructured data.
- What is regression modeling? Mention one application.
Section B – sample questions
- Explain Bayesian modeling and in data analytics.
- Analyze the role of data analytics in modern organizations.
- Discuss as a case study – Real time sentiment Analysis.