Learning Objective:  Give a quick overview of Python and cover the fundamentals. 

Topics:

• Overview of Python

• The Companies using Python

• Other applications in which Python is used

• Discuss Python Scripts on UNIX/Windows

• Variables

• Operands and Expressions

• Conditional Statements

• Loops

• Command Line Arguments

• Writing to the screen

Hands-On:

• Creating “Hello World” code

• Variables

• Demonstrating Conditional Statements

• Demonstrating Loops

Learning Objective: Learn different types of sequence structures, related operations, and their usage. Also learn diverse ways of opening, reading, and writing to files. 

Topics:

• Python files I/O Functions

• Lists and related operations

• Tuples and related operations

• Strings and related operations

• Sets and related operations

• Dictionaries and related operations

Hands-On:

• Tuple - properties, related operations, compared with list

• List - properties, related operations

• Dictionary - properties, related operations

• Set - properties, related operations

Learning Objective: This module will teach you how to write generic Python scripts, how to handle mistakes and exceptions in code, and how to extract/filter text using regex. 

Topics:

• Functions

• Function Parameters

• Global variables

• Variable scope and Returning Values

• Lambda Functions

• Object Oriented Concepts

• Standard Libraries

• Modules Used in Python (OS, Sys, Date and Time etc.)

• The Import statements

• Module search path

• Package installation ways

• Errors and Exception Handling

• Handling multiple exceptions

Hands-On:

• Functions - syntax, arguments, keyword arguments, return values

• Lambda - features, syntax, options, compared with the functions

• Sorting - sequences, dictionaries, limitations of sorting

• Errors and exceptions - types of issues, remediation

• Packages and module - modules, import options, sys path

Learning Objective: This Module introduces you to the fundamentals of statistics, various types of measures, and probability distributions, as well as the Python tools that aid in these operations. 

Topics:

• NumPy - arrays

• Operations on arrays

• Indexing slicing and iterating

• Reading and writing arrays on files

• Pandas - data structures & index operations

• Reading and Writing data from Excel/CSV formats into Pandas

Hands-On:

• NumPy library- Installation, Creating NumPy array, operations performed on NumPy array

• Pandas library- Installation, creating series and dataframes, Importing and exporting data

Learning Objective: In this module, you will learn in detail about data visualization 

Topics:

• matplotlib library

• Grids, axes, plots

• Markers, colors, fonts and styling

• Types of plots - bar graphs, pie charts, histograms

• Contour plots

Hands-On:

• Matplotlib - Installation, Using Scatterplot, histogram,bar graph, pie chart to show information, Styling of Plot