Advanced Python Course Certification - Online Classroom

Advanced Python Course Certification - Online Classroom

Unlock Advanced Python Skills with Python Deep Dive Training

Take your Python expertise to the next level with Advanced Python Course Certification — an advanced, hands‑on course designed to help you write powerful, efficient, and professional‑grade Python code. Perfect for programmers who already know the basics and want to strengthen their skills, this course goes beyond introductory concepts to cover advanced features, modern best practices, and real‑world applications.

Over 32+ hours of live instructor‑led training, 60+ hours of MCQs and assignments, and 28+ hours of practical coding sessions will immerse you in deeper aspects of Python, including advanced data structures, object‑oriented programming, and performance optimization. You’ll build a portfolio with three real‑world capstone projects and learn through expert‑guided case studies and professional code reviews.

Whether you’re aiming to advance in software development, data analytics, automation, or scripting, this Python Deep Dive course equips you with the skills and confidence to tackle complex programming challenges and elevate your career.

Key Features

• Course and material in English
• Beginner-Intermediate level
• 32+ Hours of Instructor-Led Online Training
• 60+ Hours of MCQs and Assignments
• 28+ Hours of Hands-On Practice Sessions
• 70+ hours recommended study time 
• Create a Portfolio with 3 Real-World Capstone Projects
• Learn Best Practices and Refine Code with Expert Feedback
• Learn Real-World application Through 3 Case Studies
• Program completion certification included
• Schedules available on weekdays & weekends (Please contact us to confirm the dates & schedule first before making your booking)

Learning Outcomes

• Python Fundamentals – Install Anaconda and get started with Python basics, including syntax, variables, and data types.
• Data Structures – Work with core Python structures such as lists, tuples, and more.
• Control Flow – Understand and apply conditional statements and loops.
• Object-Oriented Programming – Create classes, objects, and user-defined functions to write modular code.
• Enhance Coding Skills – Use functions and packages to improve code readability and maintainability.
• Data Analysis – Manipulate datasets and perform computations using Python.
• Working with Formats – Generate and handle JSON and HTML documents with Python.
• Data Visualization – Use Python libraries to create, customize, and interpret visual plots.

Target Audience

• Intermediate Python Developers – Programmers who know Python basics and want to advance their skills.
• Software Developers – Developers aiming to write cleaner, more efficient, and maintainable Python code.
• Data Analysts & Data Scientists – Professionals seeking to manipulate datasets, perform calculations, and visualize data using Python.
• Automation & Scripting Professionals – Those looking to enhance workflow automation with advanced Python techniques.
• Students & Tech Enthusiasts – Learners who want to deepen their understanding of Python for academic or personal projects.
• Professionals Transitioning Roles – Individuals moving into Python-related roles in development, data, or automation.

Prerequisites

No prior requirements are needed. This course is ideal for Python programmers looking to master advanced features and deepen their Python expertise.

Course Content

Basics of Python

• Install Python distribution (Anaconda)
• Data types & variables
• Strings & regular expressions
• Hands‑on: Install and configure Anaconda

Built-in Data Structures

• Arrays
• Lists
• Tuples
• Dictionaries
• Sets
• Write Python Code 

Statements and Syntax

• For Loop
• While Loop
• Break Statement
• Next Statements
• Repeat Statement
• if, if…else Statements
• Switch Statement

Functions Definitions

• Writing your own functions (UDF)
• Calling Python Functions
• Functions with Arguments
• Calling Python Functions by passing Arguments
• Lambda Functions
• Write Python Code to create your own custom functions without or with arguments

User Inputs and Outputs

• Using input() and getpass() for user input
• Debugging with "format".format_map(vars())
• Using argparse to get command-line input
• Using cmd for creating command-line applications
• Using the OS environment settings
• Write Python Code to use User Inputs to make it more flexible.

Modules and Packages

• Initialization code
• Namespaces
• Executing modules as scripts
• Documentation
• Packages and name resolution
• Naming conventions
• Using imports
• Hands-on: Write Python Code to define a module and implement module search path.

Meta Programming

• Implicit properties
• globals() and locals()
• Attributes
• The inspect module
• Decorators
• Monkey Patching
• Hands-on: Write a Python code to use decorators in order to transform the execution of a function.

Object Oriented Programming Concepts

• Methods
• Inheritance
• Encapsulation
• Polymorphism
• Hands-on: Write Python code to construct a class and define objects.

Basics of Classes and Objects

• Using a class to encapsulate data and processing
• Designing classes with lots of processing
• Designing classes with little unique processing
• Optimizing small objects with __slots__
• Extending a collection – a list that does statistics
• Using properties for lazy attributes
• Using settable properties to update eager
• attributes
• Hands-on: Write Python Code to design classes and objects.

Input/Output, Physical Format, and Logical Layout

• Using pathlib to work with filenames
• Reading and writing files with context managers
• Replacing a file while preserving the previous version
• Reading delimited files with the CSV module
• Reading complex formats using regular expressions
• Reading JSON documents
• Reading XML documents
• Reading HTML documents
• Upgrading CSV from DictReader to namedtuple reader
• Upgrading CSV from DictReader to namespace reader
• Using multiple contexts for reading and writing files
• Hands-on: Write Python Code to write JSON documents, HTML documents.

Advanced Class Design

• Choosing between inheritance and extension
• Separating concerns via multiple inheritance
• Leveraging Python’s duck typing
• Managing global and singleton objects
• Using more complex structures – maps of lists
• Creating a class that has orderable objects
• Defining an ordered collection
• Deleting from a list of mappings
• Hands-on: Write Python Code to manage singleton and global objects. Define an ordered collection.

GUI Programming

• The mainwindow object
• Widgets
• Colors and fonts
• GUI layout
• Event handling
• Hands-on: Write Python code to use colors/fonts and create a GUI layout.

Basic Data Visualization

• Basic Data Visualization with standard libraries
• Write Python code to perform basic visualization of the data

FAQ

Why Choose This Advanced Python Course?
Python is a versatile, object-oriented programming language that allows clear expression of ideas with minimal code. It is widely used for tasks ranging from text and numerical processing to image and scientific data handling, and is a staple in many development environments. This course guides you from Python fundamentals to advanced concepts, helping you master the language efficiently. With hands-on training from experienced instructors, you’ll gain practical experience in working with Python packages and learn the latest coding best practices. Python remains one of the most in-demand programming languages, making this an ideal time to strengthen your skills and advance your career.

What is the online classroom experience like?
In the online classroom, you join live sessions led by an instructor at the scheduled time. You can interact, ask questions, view presentations, collaborate in group activities, and access learning resources—all in a virtual environment. Our instructors use advanced collaboration tools to make your online learning engaging and interactive.

Will this certification boost my career as a Python developer?
Absolutely. Python is widely used by leading companies such as Google, Microsoft, and Cisco, all of which seek professionals with advanced Python expertise. Completing this certification demonstrates your skills and readiness, bringing you closer to opportunities with top tech organizations and advancing your career as a Python developer.

Are there exercises or quizzes to reinforce learning?
Yes. The Advanced Python course includes auto-graded assessments, hands-on exercises, and recall quizzes. These activities help you reinforce theoretical concepts while applying them in practical, real-world programming scenarios.