DAV PYQ 2023-24 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 2023-24

1. Q1a. What are the features of Big Data? (2 marks, 2023-24)
2. Q1b. What is decision tree? (2 marks, 2023-24)
3. Q1c. Explain the need of Data Analytics. (2 marks, 2023-24)
4. Q1d. What do you mean by learning rate? (2 marks, 2023-24)
5. Q1e. What is real time analysis? (2 marks, 2023-24)
6. Q1f. Define data Model. (2 marks, 2023-24)
7. Q1g. Discuss Sentiment Analysis. (2 marks, 2023-24)
8. Q1h. List various methods of clustering. (2 marks, 2023-24)
9. Q1i. Differentiate between Pig and SQL. (2 marks, 2023-24)
10. Q1j. Write any two visualization tools. (2 marks, 2023-24)
11. Q2a. Discuss Classification of Data. Explain all the categories in detail with examples. (7 marks, 2023-24)
12. Q2b. Illustrate with example Regression and Bayesian modelling. (7 marks, 2023-24)
13. Q2c. Discuss RTAP applications in detail. (7 marks, 2023-24)
14. Q2d. Illustrate with examples CLIQUE and ProCLUS. (7 marks, 2023-24)
15. Q2e. Discuss various visualization techniques with suitable examples. (7 marks, 2023-24)
16. Q3a. Explain the phase of Data analytics life cycle in detail. (7 marks, 2023-24)
17. Q3b. Write short note on the following- i. Modern Data analytics tools ii. Application of data analytics (7 marks, 2023-24)
18. Q4a. Demonstrate any algorithm for counting oneness in a window. (7 marks, 2023-24)
19. Q4b. What are the various stochastic search methods. Explain in detail with suitable example. (7 marks, 2023-24)
20. Q5a. With the help of suitable example explain prediction error in classification and regression. (7 marks, 2023-24)
21. Q5b. Discuss k-means clustering? Explain its working. Write k-means algorithm for partitioning. (7 marks, 2023-24)
22. Q6a. Discuss as a case study – Real time sentiment Analysis. (7 marks, 2023-24)
23. Q6b. Explain the following- i. Apriori Algorithm ii. Market based modeling (7 marks, 2023-24)
24. Q7a. Draw and discuss the architecture of HDFS in detail. (7 marks, 2023-24)
25. Q7b. What are the approaches to integrate the human in data exploration process to realize different types of approaches to visual data mining? (7 marks, 2023-24)

Introduction to Data Analytics and Visualization previous year papers

• PYQ 2025-26
• PYQ 2024-25
• 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