DAV PYQ 2025-26 AKTU Question Paper

Introduction to Data Analytics and Visualization AKTU syllabus

1. Unit 1: Introduction to Data Analytics
2. Unit 2: Data Analysis
3. Unit 3: Mining Data Streams
4. Unit 4: Frequent Itemsets and Clustering
5. Unit 5: Introduction to Visualization and Human Vision

Questions in Introduction to Data Analytics and Visualization AKTU PYQ 2025-26

1. Q1a. Define Data Analytics and explain its importance in decision making. (2 marks, 2025-26)
2. Q1b. Differentiate between structured, semi-structured and unstructured data. (2 marks, 2025-26)
3. Q1c. List and briefly explain the phases of Data Analytics lifecycle. (2 marks, 2025-26)
4. Q1d. What is regression modeling? Mention one application. (2 marks, 2025-26)
5. Q1e. Define data streams with one real-time example. (2 marks, 2025-26)
6. Q1f. What is frequent itemset mining? (2 marks, 2025-26)
7. Q1g. State two principles of human vision used in data visualization. (2 marks, 2025-26)
8. Q2a. Explain sources and characteristics of data with suitable examples. (7 marks, 2025-26)
9. Q2b. Explain regression modeling and discuss its limitations. (7 marks, 2025-26)
10. Q2c. Describe stream data model and architecture with neat diagram. (7 marks, 2025-26)
11. Q2d. Explain Apriori algorithm and its role in frequent itemset mining. (7 marks, 2025-26)
12. Q2e. Explain challenges involved in effective data visualization. (7 marks, 2025-26)
13. Q3a. Explain Data Analytics lifecycle with a neat diagram and example. (7 marks, 2025-26)
14. Q3b. Analyze the role of data analytics in modern organizations. (7 marks, 2025-26)
15. Q4a. Explain Bayesian modeling and in data analytics. (7 marks, 2025-26)
16. Q4b. Compare regression modeling and Bayesian modeling. (7 marks, 2025-26)
17. Q5a. Explain sampling and filtering techniques in data streams. (7 marks, 2025-26)
18. Q5b. Analyze challenges in mining high-speed data streams. (7 marks, 2025-26)
19. Q6a. Explain clustering techniques used in data mining. (7 marks, 2025-26)
20. Q6b. Analyze the working of K-means clustering with an example. (7 marks, 2025-26)
21. Q7a. Explain stages of data visualization. (7 marks, 2025-26)
22. Q7b. Evaluate the impact of human vision limitations on visualization design. (7 marks, 2025-26)

Introduction to Data Analytics and Visualization previous year papers

• PYQ 2024-25
• PYQ 2023-24
• PYQ 2022-23
• PYQ 2021-22

More Introduction to Data Analytics and Visualization resources

• Important Questions: Unit 1 Important Questions
• Important Questions: Unit 2 Important Questions
• Important Questions: Unit 3 Important Questions
• Important Questions: Unit 4 Important Questions
• Important Questions: Unit 5 Important Questions
• Notes: Unit 1 Notes
• Notes: Unit 2 Notes
• Notes: Unit 3 Notes
• Notes: Unit 4 Notes
• Notes: Unit 5 Notes

Introduction to Data Analytics and Visualization exam preparation

• Data Analytics & Visualization Important Topics
• Data Analytics & Visualization PYQ Analysis (unit-wise)
• Data Analytics & Visualization Predicted Paper
• Data Analytics & Visualization Important Questions