GTU · BE Computer · Semester 5
GTU 3150713 Python for Data Science Old Question Papers & Solutions PDF
Official Gujarat Technological University (GTU) old question papers PDF (Regular & Remedial) and step-by-step solved questions for Python for Data Science across 2023 – 2026 examinations.
37 questions GTU asked more than onceAsked in 5 of 7 papers: Explain Labels, Annotation and Legends in MatPlotLibSee listExam papers
Most repeated questions
37 questions GTU set in two or more of 7 papers, most repeated first. Tap a year to open that paper at the question.
Explain Labels, Annotation and Legends in MatPlotLib
Summer 2026 Q5c Winter 2025 Q4a OR Summer 2025 Q4a Winter 2024 Q5a Summer 2023 Q5b OR
Explain Data Science Pipeline in detail.
Winter 2025 Q2c Summer 2025 Q2c Winter 2024 Q2b Summer 2024 Q2c Winter 2023 Q2b
What is the use of hash function in EDA? Express various hashing trick along with example
Summer 2026 Q2c Summer 2025 Q5c Winter 2024 Q5c Winter 2023 Q5c Summer 2023 Q5a OR
Explain Z-score standardization
Summer 2026 Q3a OR Winter 2025 Q5a OR Summer 2025 Q5b OR Winter 2024 Q3a OR Summer 2023 Q2c OR
What kind of data is analyzed with Bag of word model? Explain it with example.
Summer 2026 Q3c Summer 2025 Q4c Winter 2024 Q3c Summer 2023 Q4c
Discuss different options to deal with missing data as part of data cleaning process.
Winter 2025 Q3c OR Summer 2025 Q3b OR Winter 2024 Q5c OR Summer 2024 Q3c
Describe the process of parsing an HTML document using the Beautiful Soup library in Python.
Explain EDA approach in detail.
Explain use of categorical variable with the help of suitable program.
List and explain any three Magic functions
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Define the regression problem. How can it be solved using SciKit-learn?
Explain the process of calculating the TF-IDF score for a term in a document with proper example.
Explain pie chart with suitable example.
Given the sample CSV file "trigonometry_data.csv" containing trigonometry data (Angle (degrees), Sine, Cosine, Tangent), how would you use Pandas to read the file in DataFrame and print the angle in degrees and its corresponding cosine value from the DataFrame? Content of “trigonometry_data.csv” file is as below. Angle (degrees), Sine, Cosine, Tangent 0,0.0,1.0,0.0 30,0.5,0.866,0.577 45,0.707,0.707,1.0 60,0.866,0.5,1.732 90,1.0,0.0,undefined
Explain range() function of python with suitable example.
Explain of covariance and correlation in EDA.
What role does the chi-square test play in data analysis?
Define the term Data wrangling. Explain the steps needed to perform data wrangling
Write a python program to demonstrate the concept of skewness and kurtosis
Write a python program to display the Fibonacci series. Number of terms will be inputted by user.
What is the importance of histogram in data visualization? Write code to create histogram using matplotlib.
Write a note on python ecosystem for data science.
Write code to create an undirected graph of six nodes using networkx and matplotlib.
Write a program to perform the following operation about Function 1. Function with multiple return values 2. Default arguments
Write python program to demonstrate Tuple, list and Dictionary
Briefly discuss skewness and kurtosis.
Define the classification problem. How can it be solved using SciKit-learn?
Write a brief note on NetworkX library
Define stemming. Explain the concept of stemming with example
What is the use of %timeit and %%timeit magic functions?
Explain any three functions from Scikit learn
Differentiate Supervised and Unsupervised learning
Why data visualization is important in Data Science?
Differentiate NumPy and pandas.
Describe the difference between a list and a tuple in Python (Provide at- least three points).
Explain Slicing rows and columns with example
What are the advantages of python as a preferred programming language for data science?
Which branches take this subject
GTU's syllabus lists 3150713 for 3 branches. One set of papers serves all of them.
Semester 5, elective: 3 branches
Computer Engineering, Computer Science & Engineering, Information & Communication Technology
Other Semester 5 subjects
Common questions
Are these GTU 3150713 Python for Data Science papers valid for both Regular and Remedial exams?
Yes. Gujarat Technological University (GTU) follows the same 70-mark syllabus, exam blueprint, and 23-mark passing cutoff for both Regular and Remedial (ATKT/backlog) examinations. All 7 past exam sessions (2023 – 2026) serve as comprehensive preparation for either attempt.
How can I download GTU 3150713 Python for Data Science old question papers PDF?
You can download official GTU 3150713 original question paper PDFs directly from the table above with 1 click and zero deceptive ads or wait timers. Every paper also includes interactive online questions with AI study prompts.
What is the passing mark for GTU Python for Data Science (3150713)?
The external theory exam carries 70 marks. The minimum passing cutoff is 23 marks (33%). Exam duration is 2.5 hours.
What is the GTU exam pattern for 3150713?
The examination contains 5 main questions of 14 marks each, totaling 70 marks. Questions 2 through 5 provide internal OR choices, typically split into 3-mark, 4-mark, and 7-mark questions.