Introduction to Data Science 2026 — MAKAUT · PCC-DS-301 · Mid Sem PYQ with solutions

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Maulana Abul Kalam Azad University of Technology

Solutions

30 answers across 3 groups

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Group AVery Short Answer Type Question · answer any 10 · 1 mark each

  1. I

    A variable may also be called a

    aData SetbData ItemcData ValuedData variableFree sample

    Answer: (b) Data Item

    Explanation

    In statistics and data science, a variable representing a single unit of observation is often referred to as a data item or data point.

  2. II

    Which of the following is the most important language for Data Science?

    aJavabRubycRdNone of the mentioned
  3. III

    In the regression equation y=21−3xy=21-3x, the slope is

    a21b-21c3d-3
  4. IV

    Visualization is

    apictorialbgraphicalcnumericaldlinear
  5. V

    Which of the following is performed by Data Scientist?

    aDefine the questionbCreate reproducible codecChallenge resultsdAll of the mentioned
  6. VI

    Which of the following library is similar to Pandas ?

    aNumPybRPycOutPydNone of the Mentioned
  7. VII

    The value most recurrent in the sample set is known as

    aMeanbMediancModedStandard Deviation
  8. VIII

    Identify the type of learning in which labeled training data is used.

    aSemi unsupervised learningbSupervised learningcReinforcement learningdUnsupervised learning
  9. IX

    Which of the following implies no relationship with respect to correlation?

    aCor(X,Y)=1Cor(X,Y)=1bCor(X,Y)=0Cor(X,Y)=0cCor(X,Y)=2Cor(X,Y)=2dAll of the mentioned
  10. X

    Which of the following is one of the key data science skills?

    aStatisticsbMachine LearningcData VisualizationdAll of the mentioned
  11. XI

    What is the term known as on which the machine learning algorithms build a model based on sample data?

    aData trainingbTraining datacTransfer datadNone of the above
  12. XII

    Which of the following is used to generate an index with time delta ?

    aTimeIndexbTimedeltaindexcLeadIndexdNone of the Mentioned

Group BShort Answer Type Question · answer any 3 · 5 marks each

  1. 2

    Why do we use Regression Analysis? Describe a well-known law or natural phenomena that you could model with linear regression.

  2. 3

    What is Overfitting? How can you avoid It? What do you mean by 'Training Set' and 'Test Set' in a Machine Learning Model?

  3. 4

    What is Data? Distinguish between structured and unstructured data with example.

  4. 5

    How to call a function in Python? What do you mean by Importing & Exporting Datasets?

  5. 6

    What is Data Science? Where it is needed? How does a Data Scientist work?

Group CLong Answer Type Question · answer any 3 · 15 marks each

  1. 7(a)

    What is the measure of Spread / Dispersion?

    4 marks
  2. 7(b)

    What are the skewness in Descriptive Statistics in Data Science?

    5 marks
  3. 7(c)

    Calculate the Median from the following frequency distribution-

    Marks45-5040-4535-4030-3525-3020-2515-2010-155-10
    No. of Students10152630423124157
    Show answer to question 7(c)6 marks
  4. 8(a)

    How can you choose a classifier based on a training set data size?

    5 marks
  5. 8(b)

    What is the difference between Supervised and Unsupervised machine learning?

    5 marks
  6. 8(c)

    Compare K-means and KNN algorithms.

    5 marks
  7. 9(a)

    What Is 'naive' in the Naive Bayes Classifier? When will you use classification over regression?

    6 marks
  8. 9(b)

    What is a Random Forest?

    4 marks
  9. 9(c)

    Explain the Kth Nearest Neighbor algorithm with a suitable example.

    5 marks
  10. 10(a)

    Describe the different steps of Path level measures?

    8 marks
  11. 10(b)

    Describe the different steps of Influence Maximization?

    7 marks
  12. 11(a)

    How to build a social network?

    5 marks
  13. 11(b)

    After three iterations of Hierarchical Agglomerative Clustering using Euclidean distance between points, we get the 3 clusters: C1=2,4,C1=\\{2,4\\}, C2=7,8C2=\\{7,8\\} and C3=12,14.C3=\\{12,14\\}. What is the distance between clusters C1 and C2 using Single Linkage and Complete Linkage?

    10 marks

About this paper

The MAKAUT Introduction to Data Science (PCC-DS-301) 2026 Mid Sem previous year question paper, set in semester 3. Download the verified PDF or read it online, then check your answers against the worked solutions above.

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What is the subject code for Introduction to Data Science?

PCC-DS-301 is the MAKAUT subject code for Introduction to Data Science.

Which exam is this Introduction to Data Science question paper from?

The MAKAUT 2026 Mid Sem exam, semester 3. A student shared it, and it was checked before publishing.

Which branches is this Introduction to Data Science paper for?

B.Tech Computer Science and Engineering (Data Science).

Where can I find more PCC-DS-301 question papers?

On the Introduction to Data Science subject page, which collects every year's papers along with notes and the syllabus.

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