B.TechSemester 52025-26Introduction To Data Analytics And VisualizationBCDS501
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Introduction To Data Analytics And Visualization (BCDS501) - AKTU Question Paper 2025-26

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Introduction To Data Analytics And Visualization Previous Year Question Paper for B.Tech Semester 5, academic session 2025-26. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech
Semester:Semester 5
Session:2025-26
University:AKTU / UPTU

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Questions Asked in 2025-26

Introduction To Data Analytics And Visualization (BCDS501) — complete question paper · 70 marks · 3 Hours

Section AAttempt all q u e s t i o n s i n b r i e f . 02 x 7 = 14
  • a
    Define Data Analytics and explain its importance in decision making
  • b
    Differentiate between structured, semi-structured and unstructured data
  • c
    List and briefly explain the phases of Data Analytics lifecycle
  • d
    What is regression modeling? Mention one application
  • e
    Define data streams with one real-time example
  • f
    What is frequent itemset mining?
  • g
    State two principles of human vision used in data visualization
Section BAttempt any three o f t h e f o l l o w i n g : 07 x 3 = 21
  • a
    Explain sources and characteristics of data with suitable examples
  • b
    Explain regression modeling and discuss its limitations
  • c
    Describe stream data model and architecture with neat diagram
  • d
    Explain Apriori algorithm and its role in frequent itemset mining
  • e
    Explain challenges involved in effective data visualization
Section CAttempt any one p a r t o f t h e f o l l o w i n g : 07 x 1 = 07
  • a
    Explain Data Analytics lifecycle with a neat diagram and example
  • b
    Analyze the role of data analytics in modern organizations
  • a
    Explain Bayesian modeling and in data analytics
  • b
    Compare regression modeling and Bayesian modeling
  • a
    Explain sampling and filtering techniques in data streams
  • b
    Analyze challenges in mining high-speed data streams
  • a
    Explain clustering techniques used in data mining
  • b
    Analyze the working of K-means clustering with an example
  • a
    Explain stages of data visualization
  • b
    Evaluate the impact of human vision limitations on visualization design

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

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Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

📘 Introduction to Data Analytics and Visualization — Unit-wise SyllabusBCDS501AKTU 3rd Year SyllabusAKTU 3rd Year PYQs — All BranchesCSE DS 3rd Year Syllabus