AKTU Introduction to Data Analytics and Visualization (BCDS501) Question Paper 2025-26

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 7 = 14 marks

1. Define Data Analytics and explain its importance in decision making.
2. Differentiate between structured, semi-structured and unstructured data.
3. List and briefly explain the phases of Data Analytics lifecycle.
4. What is regression modeling? Mention one application.
5. Define data streams with one real-time example.
6. What is frequent itemset mining?
7. State two principles of human vision used in data visualization.

Section B

Q2. Attempt any three of the following · 7 × 3 = 21 marks

1. Explain sources and characteristics of data with suitable examples.
2. Explain regression modeling and discuss its limitations.
3. Describe stream data model and architecture with neat diagram.
4. Explain Apriori algorithm and its role in frequent itemset mining.
5. Explain challenges involved in effective data visualization.

Section C

Q3

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain Data Analytics lifecycle with a neat diagram and example.
2. Analyze the role of data analytics in modern organizations.

Q4

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain Bayesian modeling and in data analytics.
2. Compare regression modeling and Bayesian modeling.

Q5

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain sampling and filtering techniques in data streams.
2. Analyze challenges in mining high-speed data streams.

Q6

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain clustering techniques used in data mining.
2. Analyze the working of K-means clustering with an example.

Q7

Attempt any one part of the following · 7 × 1 = 7 marks

1. Explain stages of data visualization.
2. Evaluate the impact of human vision limitations on visualization design. 5

Short on time? See the most repeated AKTU Introduction to Data Analytics and Visualization questions across all years.

Other years

More AKTU Data Analytics papers on LearnAIFast.

This paper is reproduced for study purposes only. Copyright belongs to AKTU. Source: the question paper bank of ABES Institute of Technology, an AKTU-affiliated college. If you own the copyright and want it removed, email learnwithskillnest@gmail.com and we will take it down.