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B.Sc. (Data Science) Essential Technologies in Data Science Practical Syllabus - Mumbai University 2026

This is the Fourth Year BSc Data Science Honours syllabus under NEP 2020, phased in one year at a time, from the academic year 2024-25. The University still sets the earlier Choice Based papers alongside it for ATKT candidates, so check which scheme your exam form names before you revise.

Essential Technologies in Data Science Practical Syllabus.pdf
Major · Semester 7 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

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Syllabus for Essential Technologies in Data Science Practical

Major · Semester 7 · Fourth Year BSc Data Science Honours · 2 credits · 50 marks

Module I

  • 1. Write a Python program to accept inputs from users and perform arithmetic operations. 2. Write a program to demonstrate relational and logical operators in Python. 3. Write a Python program to demonstrate usage of loops. Use both for and while loops to distinguish between them. [ e.g., Reversing the digits of a number without converting to String] 4. Demonstrate the use of data structures list, sets, dictionary. 5. Import a dataset and perform univariate analysis on the numeric columns to analyze the shape of the data. Write inference of the output. [Python or R or Excel]

Module II

  • 1. Demonstrate Hypothesis testing, and ANOVA using a dataset [use Python, R or Excel] 2. Demonstrate correlation analysis. Use heatmap for visualization. Write inferences. 3. Import a csv or Excel dataset and demonstrate data wrangling, view shape, dimension, column names of the dataset, ways to select data using column number, column names, simple and compound conditional selection, update and modify dataset. 4. Demonstrate group by summary operations and sorting techniques. 5. Perform univariate, bivariate and multivariate analysis using visualization techniques in Python, R or Excel 10 Text Books 1. Data Analysis with Pandas and Python by Boris Paskhaver, Manning Publications. Available at: https://www.perlego.com/book/2881120/pandas-in-action-pd 11 Reference Books 1. Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce, Peter Gedeck, O'Reilly Media, 2017 ISBN-10: 1491952962 ISBN-13: 978- 1491952962 2. Foundations of Statistics for Data Scientists With R and Python By Alan Agresti, Maria Kateri, CRC Press Taylor and Francis group, 2022 12 Semester End Examination: 100%

Text Books

  • 1 Data Analysis with Pandas and Python by Boris Paskhaver, Manning Publications. Available at: https://www.perlego.com/book/2881120/pandas-in-action-pd
  • 1 Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce, Andrew Bruce, Peter Gedeck, O'Reilly Media, 2017 ISBN-10: 1491952962 ISBN-13: 978- 1491952962
  • 2 Foundations of Statistics for Data Scientists With R and Python By Alan Agresti, Maria Kateri, CRC Press Taylor and Francis group, 2022

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 2024 25 DS SEM I & II NEP NEP 2020 syllabus, in force from 2024-25 Read full PDF Read
PDF 2023 24 BSc Data Science Sem V & VI Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
PDF 2021 22 BSc Data Science Sem III & IV Earlier Choice Based syllabus, still set for ATKT candidates Read full PDF Read
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