EXPLORATORY DATA ANALYSIS (BAI515E)

EXPLORATORY DATA ANALYSIS

Course Code BAI515E 
CIE Marks 50
Teaching Hours/Week (L: T:P: S) 3:0:0:0 
SEE Marks 50
Total Hours of Pedagogy 40 
Total Marks 100
Credits 03 
Exam Hours 3
Examination type (SEE) Theory

Module-1

Introduction to Python and NumPy: Getting Started in IPython and Jupyter, Enhanced Interactive

Features, The Basics of NumPy Arrays, Sorted Arrays, Structured Data: NumPy’s Structured Arrays

Textbook: Chapter 2, Chapter 5, Chapter 11, Chapter 12, Chapter 1(Not for CIE/SEE),

Module-2

Data Manipulation with Pandas - I: Introducing Pandas Objects, Handling Missing Data, Hierarchical

Indexing, Pivot Tables.

Module-3

Data Manipulation with Pandas - II: Vectorized String Operations, Working with Time Series, HighPerformance Pandas: eval and query

Module-4

Data Visualization with MatPlotlib: General Matplotlib Tips, Simple Line Plots, Simple Scatter Plots,

Visualization with Seaborn

Module-5

Introduction to Machine Learning: What Is Machine Learning?, Introducing Scikit-Learn,

Hyperparameters and Model Validation

Suggested Learning Resources:

Text Books:

1. Jake VanderPlas - Python Data Science Handbook: Essential Tools for Working with Data, Oreilly

2nd Edition, 2022.

Reference Book:

2. https://python4csip.com/files/download/Data%20Visualization.pdf