Gujarat Technological UniversityWinter 2025 examination

GTU 3151608 Data Science Winter 2025 Question Paper & PDF

B.E. · IT Engineering · Semester 5 · Subject code 3151608
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Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 10:30 AM – 1:00 PM
Questions
5 with internal choice
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19 of 25 questions on this paper were also asked in other years. Each is marked below with the years it appeared.See all 38 repeated 3151608 questions, most asked first

Q.1

14 Marks
(a)
3 marks
Define business analytics and explain the use of it.
(b)
4 marksAsked in 3 of 7 papers

Explain the three main types of business analytics: descriptive, predictive, and prescriptive, and provide an example of each.

Also asked in Summer 2026 Q1c, Summer 2024 Q3b

(c)
7 marks

Discuss the potential future trends and challenges in data-driven decision making as technology continues to evolve. Provide examples to support your points.

Q.2

14 Marks
(a)
3 marksAsked in 3 of 7 papers
Explain Percentile, Decile and Quartile.

Also asked in Summer 2026 Q3c OR, Winter 2024 Q1b

(b)
4 marksAsked in 4 of 7 papers

Discuss the four major types of data measurement scales: nominal, ordinal, interval, and ratio. Provide examples for each.

Also asked in Summer 2026 Q3c, Summer 2024 Q4a OR, Summer 2023 Q1c

(c)
7 marksAsked in 3 of 7 papers

Compare and contrast the merits and limitations of using mean, median, and mode as measures of central tendency. Provide examples to illustrate your points.

Also asked in Summer 2026 Q2c, Summer 2025 Q2a

(c)
7 marks
Consider the marks of 20 students in data science subject as below:

88 36 88 96 88 74 88 46 88 73 40 30 45 62 85 95 45 78 76 82

ICalculate mean, median and mode.
IICalculate 95th and 50th percentile of the marks.
IIICalculate the inter quartile range (IQR).

Q.3

14 Marks
(a)
3 marks

Differentiate between qualitative and quantitative data types, providing an example of each.

(b)
4 marksAsked in 6 of 7 papers

Discuss need of Skewness and Kurtosis. Explain its types with example.

Also asked in Summer 2026 Q2c OR, Summer 2025 Q3b, Winter 2024 Q4c, Summer 2024 Q4c, Winter 2023 Q2b

(c)
7 marksAsked in 2 of 7 papers

What is Probability Distribution function? Explain Uniform Distribution, Normal Distribution, and Exponential Distribution in brief.

Also asked in Winter 2024 Q2a

(a)
3 marksAsked in 3 of 7 papers
Differentiate between a population and a sample

Also asked in Summer 2026 Q1a, Summer 2025 Q1b

(b)
4 marks

Define descriptive analytics and explain its primary purpose in data analysis.

(c)
7 marksAsked in 3 of 7 papers

Explain the Chi-Square distribution, Student's t-distribution and F- Distribution in brief.

Also asked in Summer 2026 Q4c OR, Winter 2023 Q3c

Q.4

14 Marks
(a)
3 marksAsked in 4 of 7 papers

Explain Bayes' Theorem and provide an example of how it is used to update probabilities in real-life situations.

Also asked in Summer 2026 Q2a, Summer 2025 Q3c, Winter 2024 Q3c

(b)
4 marksAsked in 4 of 7 papers
Differentiate Probabilistic Sampling and Non-Probability Sampling.

Also asked in Winter 2024 Q2b, Winter 2023 Q4a, Summer 2023 Q3b

(c)
7 marks

Provide a detailed history of regression modeling, highlighting key milestones and developments from Francis Galton's work to modern regression techniques.

(a)
3 marksAsked in 2 of 7 papers
Discuss Poisson distribution with example

Also asked in Summer 2023 Q3a OR

(b)
4 marksAsked in 3 of 7 papers

Explain why Central Limit Theorem is called as a heart of the Data Science.

Also asked in Winter 2024 Q4b, Winter 2023 Q4b

(c)
7 marksAsked in 4 of 7 papers
Explain in detail: Maximum Likelihood Estimation (MLE).

Also asked in Summer 2026 Q3a, Winter 2024 Q4c OR, Winter 2023 Q4b OR, Winter 2023 Q5c OR

Q.5

14 Marks
(a)
3 marksAsked in 2 of 7 papers

List out steps involved in building a Simple Linear Regression model, from data collection to model interpretation.

Also asked in Summer 2026 Q4b

(b)
4 marksAsked in 3 of 7 papers
Compare linear regression vs. Logistic regression.

Also asked in Winter 2024 Q3b, Summer 2024 Q4b

(c)
7 marksAsked in 4 of 7 papers

Discuss decision tree algorithm for classification of data with example.

Also asked in Summer 2025 Q5c OR, Winter 2023 Q4c OR, Summer 2023 Q5c OR

(a)
3 marksAsked in 2 of 7 papers

Define sensitivity and specificity in the context of Logistic Regression and their relevance in classification problems.

Also asked in Summer 2026 Q5b OR

(b)
4 marksAsked in 4 of 7 papers
Explain Outlier analysis in brief.

Also asked in Winter 2024 Q4a, Summer 2024 Q3a OR, Winter 2023 Q5a

(c)
7 marksAsked in 4 of 7 papers
Explain Random Forest method with suitable example

Also asked in Summer 2025 Q5a OR, Summer 2024 Q5c, Winter 2023 Q5c

More Data Science papers

Questions repeat across sessions. Working through two or three papers shows you which topics GTU asks most.

Summer 202670 marks · 5 questions
Summer 202570 marks · 5 questions
Winter 202470 marks · 5 questions
Summer 202470 marks · 5 questions

Other Semester 5 subjects

BE IT

3151604
Object Oriented Analysis and Design
3151605
Formal Language and Automata Theory
3151606
Web Development

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About this paper

Official Gujarat Technological University (GTU) examination paper for Data Science (Winter 2025, B.E. · IT Engineering, Sem 5). Features complete 70-mark regular & remedial examination pattern, official marking distribution across all 5 questions, and direct 1-click official PDF download.

Transcribed for student exam preparation from Gujarat Technological University official examination archives. Questions, syllabus guidelines, and curriculum marking schemes remain the intellectual property of Gujarat Technological University.

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