Advanced Python

This course is designed for learners who already know Python basics and want to dive deeper into advanced concepts. With practical coding exercises and real-world projects, you’ll develop the expertise required to tackle complex programming challenges and prepare for careers in Data Analytics, Data Science and AI.

What you will learn:

Introduction to python
Exploring Anaconda and other IDEs
Identifiers
Comments
What are Keywords?
Datatype and its types
Strings and its Operations
Lists and its Operations
Tuples and its Operations
Sets and its Operations
Dictionaries and its Operations
Operators
Types of Operators
Dealing with Binary Numbers
Decision Control Statement
Nested If
Loop Statement
Nested Loop
Jump Control Statement
Introduction to Functions
Types of Functions
Arguments and its types
Ways to define a Function
Built-In Functions
Recursion
Lambda function
Introduction to Modules
Types of Modules
Creating and Importing of a module
Introduction to Exception Handling
Error vs Exception
Raising an exception
Handling an exception
Components of Exception Handling
Types of Exception
Nested Try
What is a File ?
Types of Files
Introduction to File Handling
Steps of File Handling
Working with File Paths
Modes in File Handling
Methods in File Handling
Introduction to OS module
OS module functions and methods
Introduction to OOPS
Class & Object
Methods
Principles of OOPS
Inheritance
Types of Inheritance
Encapsulation
Polymorphism
Abstraction
Getters
Setters
Deleters
Multithreading
Introduction to Numpy
Understanding Arrays
Dimensions in Arrays
Datatypes in Numpy
Functions and Methods used in Numpy
Introduction to Pandas
Series & Dataframes in Pandas
Reading CSV & JSON using pandas
Cleaning Data using Pandas
Introduction to Tkinter
Creating GUI using Tkinter
Introduction to Matplotlib
Plotting & Marking in Matplotlib
Graphs & Charts in Matplotlib
Multiple Python Based Projects