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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 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