Gujarat Technological UniversitySummer 2026 examination

GTU 3151608 Data Science Summer 2026 Question Paper & PDF

B.E. · IT Engineering · Semester 5 · Subject code 3151608
Download official PDFView PDF here
Share with your class
Total
70 marks
To pass
23 marks (33%)
Duration
2.5 Hours 2:30 PM – 5:00 PM
Questions
5 with internal choice
No solutions on this paper yetNeed them for your exam? Ask once. Papers that students ask for are solved first, and we aim to add them within 24 hours.

15 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 marksAsked in 3 of 7 papers
Define population and sample.

Also asked in Winter 2025 Q3a OR, Summer 2025 Q1b

(b)
4 marks
Differentiate Cross-sectional, Time Series and Panel Data.
(c)
7 marksAsked in 3 of 7 papers

Discuss how descriptive, predictive and prescriptive analytics techniques can be applied in healthcare applications. Explain with simple examples.

Also asked in Winter 2025 Q1b, Summer 2024 Q3b

Q.2

14 Marks
(a)
3 marksAsked in 4 of 7 papers
State Bayes’ Theorem.

Also asked in Winter 2025 Q4a, Summer 2025 Q3c, Winter 2024 Q3c

(b)
4 marks
What is estimation? Differentiate point estimation and interval estimation.
(c)
7 marksAsked in 3 of 7 papers
Explain various measures of central tendency with suitable examples.

Also asked in Winter 2025 Q2c, Summer 2025 Q2a

(c)
7 marksAsked in 6 of 7 papers
Explain various measures of shapes with suitable examples.

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

Q.3

14 Marks
(a)
3 marksAsked in 4 of 7 papers
Explain how Maximum Likelihood Estimation can be used to estimate parameters.

Also asked in Winter 2025 Q4c OR, Winter 2024 Q4c OR, Winter 2023 Q4b OR, Winter 2023 Q5c OR

(b)
4 marksAsked in 4 of 7 papers
Discuss CLT-Central Limit Theorem.

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

(c)
7 marksAsked in 4 of 7 papers

Why is the choice of measurement scale important in statistical analysis? Explain nominal, ordinal, interval, and ratio scales with examples.

Also asked in Winter 2025 Q2b, Summer 2024 Q4a OR, Summer 2023 Q1c

(a)
3 marks
Explain how sampling distribution can be used to make statistical inferences.
(b)
4 marksAsked in 3 of 7 papers
Discuss Method of Moments.

Also asked in Winter 2024 Q3b OR, Winter 2023 Q5b

(c)
7 marksAsked in 3 of 7 papers

When percentile is preferred over percentage? Explain percentile, quartile and decile with examples.

Also asked in Winter 2025 Q2a, Winter 2024 Q1b

Q.4

14 Marks
(a)
3 marks
Discuss applications of linear regression in data science.
(b)
4 marksAsked in 2 of 7 papers
Explain Simple Linear Regression model building steps.

Also asked in Winter 2025 Q5a

(c)
7 marks
Differentiate discrete and continuous probability distributions.
(a)
3 marks
Discuss purpose of Ordinary Least Squares method in linear regression.
(b)
4 marksAsked in 2 of 7 papers
Explain steps for validation of Simple Linear Regression model.

Also asked in Winter 2023 Q2c OR

(c)
7 marksAsked in 3 of 7 papers
Differentiate Chi-Square Distribution, Student’s t-Distribution and F-Distribution.

Also asked in Winter 2025 Q3c OR, Winter 2023 Q3c

Q.5

14 Marks
(a)
3 marks
Explain how logistic regression can be used in credit rating.
(b)
4 marksAsked in 2 of 7 papers
Differentiate Gain Chart and Lift Chart

Also asked in Summer 2024 Q5b OR

(c)
7 marks

A retail company wants to predict whether a customer will buy a product based on features such as age, income, past purchase history, etc. Explain how decision tree method can be applied to build this model.

(a)
3 marks
Explain purpose of Optimal Cut-Off Probability in logistic regression.
(b)
4 marksAsked in 2 of 7 papers
Differentiate Sensitivity and Specificity.

Also asked in Winter 2025 Q5a OR

(c)
7 marks

A bank wants to predict whether a customer will repay a loan on time using features such as income, credit history, age, and employment status. Explain how bagging, random forests, and boosting can be applied to improve the accuracy of this prediction.

More Data Science papers

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

Winter 202570 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

Preparing with friends?

Send this paper to your class group. Every question has its own link.

About this paper

Official Gujarat Technological University (GTU) examination paper for Data Science (Summer 2026, 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.

Download official PDF All Data Science Papers (7) →Report a typo or correction
ViewDownload PDF