Course Objectives

• To understand the programming features of Python
• To learn the elements of python programming
• To learn python libraries
• To learn data visualisation using python

Learning Outcomes

• To read data using Python Functions
• To perform data visualisation using Python Libraries
• To learn problem-solving using python

Course Syllabus

MODULE-I

Elements of Python programming, variables, Data types, Operators, string,

MODULE-II

control structures, python functions, arrays

MODULE-III

Class and objects, Modules, File handling

MODULE-IV

Plotting- Basic plot, histogram, bar plot, area plot, scatter plot, pie chart

MODULE-V

Data Reading using Python Functions;-

• Python libraries: Pandas, NumPy, Plotly, Matplotlib, Seaborn, Dash.
• Data collection from online data sources
• Web scrap, data formats such as HTML, CSV, and MS Excel.
• Data compilation, arranging and reading data, data munging

MODULE-VI

Data Visualisation using Python Libraries:-

• Using graphs- Scatterplot, Line chart, Histogram, Bar chart, Bubble chart, Heatmaps .
• Dashboard Basics- Layout, Reporting, Infographics, Interactive components, live updating

MODULE-VII

Interactive Data Visualization

• Plotting with glyphs – simple scatter plot, scatter plot with different shapes,
• Additional glyphs, Lines, lines and markers, patches, data formats
• Plotting data from NumPy arrays
• Plotting data from Pandas dataframes
• Customising glyphs – selection and non-selection glyphs, Hover glyphs
• Color mapping
• Introduction to layouts, creating rows of plot, creating columns of plot, Nesting rows and columns

Text Books

1. Programming Python: Powerful Object Oriented Programming; Mark Lutz; Shroff/O'Reilly;2010.
2. Beginning Python: Using Python 2.6 & Python 3.1; James Payne; Wiley India; 2011.