B.Sc. (Computer Science) Sem 6 Data Science Mar 2025 Question Paper - Mumbai University | munotes

Questions asked in this paper

• 2) Figures to the right indicate marks

1. Q3 Illustrations, in-depth answers and diagrams will be appreciated
2. Q4 Mixing of sub-questions is not allowed
3. Q1 Attempt ANY FOUR from the following: (20M)
   • (a) Discuss in detail different Data Sources
   • (b) Describe in detail Data Transformation
   • (c) Discuss the difference between Data Science & Business Intelligence
   • (d) Define and discuss Data warehousing and Data mining
   • (e) Explain any five libraries for data science
   • (f) Discuss in detail Data wrangling techniques
4. Q2 Attempt ANY FOUR from the following: (20M)
   • (a) Define Descriptive Statistics. Explain Mean, Mode, Median and Standard Deviation in detail
   • (b) Discuss Ensemble learning in detail,
   • (c) Define Hypothesis Testing. Discuss Null Hypothesis and Alternate
   • (d) Explain Data Visualization Techniques in detail
   • (e) Discuss in detail Support Vector Machine (SVM)
   • (f) Explain in detail Dimensionality Reduction
5. Q3 Attempt ANY FOUR from the following: (20M)
   • (a) Discuss visualization tools in detail
   • (b) Discuss Data Management Activities in detail
   • (c) Define Accuracy, Precision, Recall, F1 Score and Confusion Matrix
   • (d) Explain Data Quality along with it’s importance
   • (e) Define Data Security. Discuss types of data security
   • (f) Discuss Data Privacy
6. Q4 Attempt ANY FIVE from the following: (15M)
   • (a) Discuss the difference between Data Science and Machine Learning
   • (b) Define Underfitting of data and Overfitting of data
   • (c) Discuss ETL (Extraction, Transformation and Loading)
   • (d) Explain Data Preprocessing
   • (e) Discuss Bias, Variance Trade-off
   • (f) Discuss the difference between Data governance and Data quality

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