Data Analytics using Python (Major-14)

Fundamentals of Data Analytics

3 topics

• Exploratory Data Analysis (EDA): types of EDA; Univariate, Bivariate and Multivariate Analysis; handling missing data and outliers
• Understanding the Data: Quantitative Data (Discrete and Continuous); Qualitative Data (Nominal and Ordinal)
• Spread of Data: Normal Distribution; Skewed Distribution; Skewness and Kurtosis

Automate EDA (Exploratory Data Analysis)

3 topics

• Python Libraries to Automate EDA: Pandas and NumPy
• Regression: characteristics of regression; dependent and independent variables; covariance and correlation
• Machine Learning Basics: concepts of ML (understanding ML, benefits, ML life cycle); types of ML (Supervised and Unsupervised Learning; applications of ML in real-world scenarios)

Understanding Supervised Learning

3 topics

• Overview of Supervised Learning: concepts; difference between Classification and Regression
• Basic Terminologies: Dataset, Features, Labels; Training, Test and Validation Data; Overfitting, Underfitting
• Loss functions: Mean Squared Error (MSE) - definition, computing and properties; Mean Absolute Error (MAE) - definition, computing and properties; understanding Regression and R-squared

Vedic Mathematics Sutras

13 topics

• Nikhilam Navatashcaramam Dashatah: All from 9 and the last from 10
• Ekadhikena Purvena: By one more than the previous one
• Udharan: The extraction
• Paraavartya: Transposition and cancellation
• Shunyam Saamyasamuccaye: When the sum is the same that sum is zero
• Anurupyena: Proportionately
• Sankalana-Vyavakalanabhyam: By addition and by subtraction
• Puranapuranabhyam: By the completion or non-completion
• Chalana-Kalana: By motion or by applying a shift
• Yavadunam: Whatever is the deficiency
• Vyastisamanstih: The parts and the whole
• Sesanyan: The remainder; Gunitasamuchyah: The product of the sum; Vistaran: Expansion; Rupan: Form; Chidana: By splitting
• Implementation of all sutras in computer lab using C / Python / any other programming language

Previous-year question papers

Published by VNSGU. These open on the university’s own site.

• February 2026Data Analytics using Python (TH)(NEW) (Major - 1 : Paper - 602)

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