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B.Sc. (Data Science) Descriptive Statistics Syllabus - Mumbai University

This is the FY BSc Data Science syllabus under NEP 2020, in force 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.

Descriptive Statistics Syllabus.pdf
Major · Semester 1 · FY BSc Data Science · 2 credits · 50 marks

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Syllabus for Descriptive Statistics

Major · Semester 1 · FY BSc Data Science · 2 credits · 50 marks

Module I

  • 1. Introduction of Statistics: Meaning of Statistics, Importance of Statistics, Types of Characteristics, Different types of Scales: Nominal, Ordinal, Interval and ratio. Univariate frequency distribution of discrete and continuous variables and Cumulative frequency distribution. Data Presentation: Frequency Distribution, Histogram and Ogives Curves. 2. Measures of Central Tendencies: Concept of Central Tendency, characteristics of good measures of Central Tendency, Positional Averages: Median, Mode , Partition values: Quartiles, Deciles and Percentiles -examples of ungrouped and grouped data 3. Measures of Dispersion: Concept of Dispersion, Requirements of good measures of Dispersion, Absolute and Relative measures of Dispersion: Range, Quartile Deviation, Mean Absolute Deviation, Standard Deviation, Combined Standard Deviation-examples of ungrouped and grouped data 4. Raw and Central Moments, relation between Raw and Central moments, concept of Skewness and Kurtosis.

Module II

  • 1. Concept of Correlation, types and interpretation, Scatter Diagram, Product Moment Correlation Coefficient, and its properties 2. Spearman’ s Rank Correlation (with and without ties) 3. Concept of Linear Regression, Principle of Least Square, Fitting a straight line by method of least square. 4. Difference between Correlation and Regression, relation between Correlation and Regression 5. Concept of multiple correlation 6. Concept of multiple regression and logistics regression 10 Text Books 1. Sarma, K. V. S. (2001). Statistics Made it Simple: Do it yourself on PC. Prentce Hall of India, NewDelhi. 2. Agarwal, B. L. (2003). Programmed Statistics, Second Edition, New Age International Publishers, NewDelhi. 3. Purohit, S. G., Gore S. D., Deshmukh S. R. (2008). Statistics Using R, Narosa Publishing House, NewDelhi. 4. Schaum‟s Outline Of Theory And Problems Of Beginning Statistics, Larry J. Stephens, Schaum‟s Outline Series Mcgraw-Hill 5. Gupta, S.C. and Kapoor, V.K. (1987): Fundamentals of Mathematical Statistics, S. Chand and Sons, New Delhi 11 Reference Books 1. Goon AM, Gupta MK, Das Gupta B: Fundamentals of Statistics, Vol-I, the World Press Pt. Ltd, Kolkata 2. Shah R.J: Descriptive Statistics: Seth Publication, Eight Edition 3. Spiegel M.R: Theory and Problems of Statistics, Schaum’s Publishing Series, Tata McGraw-Hill, First Edition 4. Basic Statistics: Agarwal B.L: New Age International Ltd 12 Internal Continuous Semester End Examination: 60% Assessment: 40% 13 Continuous Evaluation Format of Question Paper: External Examination through: (30 Marks)– 1 hr duration Class test of 1 of 15 marks Class test of 2 of 15 marks Average of the two: 15 marks Quizzes/ Presentations/ Assignments: 5 marks Total: 20 marks 14 Format of Question Paper: (Semester End Examination : 30 Marks. Duration:1 hour) Q1: Attempt any two (out of four) from Module 1 (15 marks) Q2: Attempt any two (out of four) from Module 2 (15 marks)

Text Books

  • 1 Sarma, K. V. S. (2001). Statistics Made it Simple: Do it yourself on PC. Prentce Hall of India, NewDelhi.
  • 2 Agarwal, B. L. (2003). Programmed Statistics, Second Edition, New Age International Publishers, NewDelhi.
  • 3 Purohit, S. G., Gore S. D., Deshmukh S. R. (2008). Statistics Using R, Narosa Publishing House, NewDelhi.
  • 4 Schaum‟s Outline Of Theory And Problems Of Beginning Statistics, Larry J. Stephens, Schaum‟s Outline Series Mcgraw-Hill
  • 5 Gupta, S.C. and Kapoor, V.K. (1987): Fundamentals of Mathematical Statistics, S. Chand and Sons, New Delhi
  • 1 Goon AM, Gupta MK, Das Gupta B: Fundamentals of Statistics, Vol-I, the World Press Pt. Ltd, Kolkata
  • 2 Shah R.J: Descriptive Statistics: Seth Publication, Eight Edition
  • 3 Spiegel M.R: Theory and Problems of Statistics, Schaum’s Publishing Series, Tata McGraw-Hill, First Edition
  • 4 Basic Statistics: Agarwal B.L: New Age International Ltd

Reproduced from the University of Mumbai syllabus for B.Sc. (Data Science) under NEP 2020, in force from the academic year 2024-25. 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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