Curriculum

Module 1 – Introduction to Python
Learning Objective:
Learn about the history of Python and its various uses. Learn to use interpreters and learn about how Python scripts work on UNIX/Windows.

Topics

• Python What and Why
• Python – Domains and Platforms
• Installation and setup
• Hello World

Module 2 – Code & Data
Learning Objective:
Learn how to install Python distribution – Anaconda. Learn basic data types, strings & regular expressions.

Topics

• What is Code and Data
• Creating Data
• Using Data with Code
• Syntax and Naming Conventions

Module 3 – Building Blocks
Learning Objective:
In this module, you will learn to convert messy text into something useful.

Topics

• Data Types
• Arithmetic Operators
• Lists Basics
• Important Functions and Features

Module 4 – Strings
Learning Objective:
Learn the various data structures that are used in Python.

Topics

• Creating and Indexing
• Negative Indexing, Slicing and Stepping
• Immutability Concept
• Important String Functions

Module 5 – Data Structures
Learning Objective:
Learn all about loops and control statements in Python.

Topics

• Data Structures
• Lists
• List Functions Part 1
• List Functions Part 2
• Tuples

Module 6 – Flow Control
Learning Objective:
Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topics

• Conditional Statements
• if elif else
• other operators
• While statement
• for with sequences

Module 7 – Functions
Learning Objective:
Learn to build modules and install packages.

Topics

• User Defined Functions
• Passing Parameters
• Return Values

Module 8 – Modules
Learning Objective:
Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topics

• Introduction
• Installing Modules
• Fetching Modules
• Important Modules and Packages

Module 9 – Files
Learning Objective:
Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.”

Topics

• What are Files
• Opening and Reading Text Files
• Different Modes of Opening Files
• Reading & Writing into Text Files

Module 10 – numpy
Learning Objective:
Study Use Cases to explore Python

Topics

• What is NumPy?
• Creating & using NumPy Arrays
• NumPy Array Attributes
• Array Indexing and Slicing
• Array Operations – Part 1
• Array Operations – Part 2
• Different Ways of Creating Arrays
• Random Number Generation

Module 11 – pandas
Topics

• Introduction to Pandas
• Reading various file formats
• Creating Pandas Series and DataFrames
• Series Operations
• DataFrame Operations part 1
• DataFrame Operations part 2

Module 12 – Regular Expression
Topics

• Introduction to RegEx
• Meta characters (part 1)
• Meta characters (part 2)
• Special sequences (part 1)
• Special sequences (part 2)

Module 13 – Visualization
Topics:

• Introduction to Visualization
• Basic plots
• Sub plots
• Bar, Pie, Histogram and Scatter
• Plots using Pandas

Module 14 – Object-Oriented Programming
Topics

• The concept of class and an object
• Python class, methods, members, objects
• Concept of __init__
• Updating values using methods
• Encapsulation
• Inheritance

Module 15 – Other File Formats
Topics

• Various types of files
• Recap of CSV files with pandas
• SAS Files
• STATA Files
• HDF5 Files
• JSON Files
• YAML Files

Module 16 – Database Integration
Topics

• Various databases
• Connection and Cursor Objects
• Reading Data
• Creating Databases and Tables
• Insert Data
• Update & Delete Data
• Other Databases