DAV PYQ 2022-23 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 2022-23

1. Q1a. List the features of big data analytics platform. (2 marks, 2022-23)
2. Q1b. Why there is need of data analytics? (2 marks, 2022-23)
3. Q1c. What are the components of time series? (2 marks, 2022-23)
4. Q1d. List various types of regression analysis techniques. (2 marks, 2022-23)
5. Q1e. What is sentiment analysis? (2 marks, 2022-23)
6. Q1f. What are problem in Flajolet-Martin (FM) algorithm? (2 marks, 2022-23)
7. Q1g. What is Market Basket Analysis? (2 marks, 2022-23)
8. Q1h. Explain hierarchical method of clustering. (2 marks, 2022-23)
9. Q1i. Define sharding and database shard. (2 marks, 2022-23)
10. Q1j. List any two visualization tools. (2 marks, 2022-23)
11. Q2a. Differentiate between structured, semi-structured and unstructured data. (7 marks, 2022-23)
12. Q2b. Describe grid-based fuzzy model. (7 marks, 2022-23)
13. Q2c. Explain Alon-Matias-Szegedy Algorithm for second moments on the given stream {a, b, c, b, d, a, c, d, a, b, d, c, a, a, b}. (7 marks, 2022-23)
14. Q2d. Explain market basket analysis with an example. (7 marks, 2022-23)
15. Q2e. Discuss various classification of visualization techniques. (7 marks, 2022-23)
16. Q3a. Discuss all the moderntools of data analytic. (10 marks, 2022-23)
17. Q3b. Describe all the phases of data analytics life cycle. (10 marks, 2022-23)
18. Q4a. Describe PCA algorithm. Compute the principal component using PCA algorithm on given data as: CLASS 1: X = 2 , 3 , 4 Y = 1 , 5 , 3 CLASS 2: X = 5 , 6 , 7 Y = 6 , 7 , 8 (10 marks, 2022-23)
19. Q4b. Illustrate Bayesian network with an example. (10 marks, 2022-23)
20. Q5a. Describe briefly the architecture of Data Stream Management System (DSMS). (10 marks, 2022-23)
21. Q5b. Explain any one algorithm for counting oneness in a window. (10 marks, 2022-23)
22. Q6a. For the given data, find the association rule using apriori algorithm. Given: Minimum Support= 2, Minimum Confidence= 50% (10 marks, 2022-23)
23. Q6b. What do you mean by k-means clustering? How does the k-means algorithm work? Write k-meansalgorithm for partitioning. (10 marks, 2022-23)
24. Q7a. Define HDFS. Discuss the HDFS architecture and HDFS commands in brief. (10 marks, 2022-23)
25. Q7b. Differentiate between Map Reduce and Apache Pig. (10 marks, 2022-23)

Introduction to Data Analytics and Visualization previous year papers

• PYQ 2024-25
• 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