Python Fundamentals Instructor-Led Training

Get expert guidance in our instructor-led Python course for beginners and gain the skills you need to land your first Python developer role.

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About This Class

Start your programming journey with our instructor-led Python Fundamentals for Beginners course.

This online class takes you step-by-step through essential programming concepts, covering variables, data types, control flow, functions, object-oriented programming, and file handling.

We’ve built in hands-on labs, interactive lessons, video tutorials, and practice tests to ensure you truly learn by doing. Whether you’re upskilling or reskilling, this expert-guided experience helps you build a strong Python foundation aligned with industry standards.

Say goodbye to learning gaps and unanswered questions. Get real-time support from instructors, schedule Q&A sessions, and stay motivated with a structured, engaging learning path.

With Python Fundamentals for Beginners, you’re learning to think like a programmer.

Target Audience

  • Students 
  • Non-IT professionals 
  • Tech-adjacent workers

Experience Level

Beginner Friendly

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Python Fundamentals Instructor-Led Training
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What Do You Get?

  • Real-time interaction and feedback with instructors
  • Hands-on Labs for practical application
  • Gamified TestPrep tailored to their needs

Training Essentials

  • Estimated Completion Time: 3 Weeks
  • Methodology: Online, Instructor-Led
  • Level: Beginner-friendly
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JOB Roles You Can Apply For

Junior Python Developer
 Data Analyst (Entry-Level)
 QA Tester
 Automation Assistant
 Technical Support Specialist (with scripting focus)
 STEM Educators introducing coding
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Components Available

Hands-on Labs

31+ LiveLab | 23:38+ Hours

Interactive lessons

13+ Interactive Lessons | 43+ Exercises | 61+ Quizzes | 138+ Flashcards | 138+ Glossary of terms

Video lessons

31+ Videos | 23:38+ Hours

Skills You'll Gain

Python Programming Fundamentals
 Variables
Data Types
and Operators
 Control Flow using if
while
and for Statements
 Function Creation and Reusability
 Object-Oriented Programming (OOP) Principles
 Error and Exception Handling
 File Input/Output (I/O) Operations
 Working with Lists
Tuples
Dictionaries
and Sets
 Using Modules and Packages
 Writing
Debugging
and Running Python Scripts
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Lesson Plan

    • About the Course
    • Learning Objectives
    • Audience
    • Approach
    • Minimum Hardware Requirements
    • Software Requirements
    • Conventions
    • Installation

    • Introduction
    • Working with the Python Interactive Shell
    • Writing and Running Simple Scripts
    • Variables
    • User Input, Comments, and Indentations
    • Summary

    • Introduction
    • Numerical Data
    • Strings
    • Lists
    • Booleans
    • Summary

    • Introduction
    • Control Statements
    • The if Statement
    • The while Statement
    • while Versus if
    • Loops
    • The for Loop
    • The range Function
    • Nesting Loops
    • Breaking Out of Loops
    • Summary

    • Introduction
    • Built-In Functions
    • User-Defined Functions
    • Function Arguments
    • Anonymous Functions
    • Summary

    • Introduction
    • List Syntax
    • List Methods
    • List Comprehensions
    • Tuple Syntax
    • Accessing Tuple Elements
    • Accessing Tuple Elements
    • Tuple Methods
    • Summary

    • Introduction
    • Working with Dictionaries
    • Additional Dictionary Attributes
    • Ordered Dictionaries
    • The Basics of Sets
    • Set Operations
    • Frozen Sets
    • Summary

    • Introduction
    • A First Look at OOP
    • OOP in Python
    • Methods in a Class
    • Class Versus Instance Attributes
    • Class Versus Instance Methods
    • Class Inheritance
    • Multiple Inheritance
    • Summary

    • Introduction
    • Defining Modules
    • Imports and Import Statements
    • Modules and Packages
    • File Operations
    • The file Object
    • Reading and Writing to Files
    • Handling Structured Data
    • Summary

    • Introduction
    • Built-In Exceptions
    • Handling Errors and Exceptions
    • Custom Exceptions
    • Summary

Hands-on Labs

  • Using the print Method
  • Displaying a Statement Multiple Times
  • Using Variable Assignment
  • Using Variables and Assigning Statements
  • Displaying the Multiplication Table

  • Using Arithmetic Operators
  • Performing String Slicing Tasks
  • Working with Strings
  • Manipulating Strings Using the strip Method
  • Working with Lists
  • Using Boolean Operators

  • Working with the if Statement
  • Working with the while Statement
  • Using the for Loop and the range Function
  • Using Nested Loops

  • Working with Function Arguments
  • Using Lambda Functions

  • Using List Methods
  • Using Tuple Methods

  • Arranging and Presenting Data Using Dictionaries
  • Combining Dictionaries
  • Creating Intersections of Elements in a Collection

  • Defining Methods in a Class
  • Creating Class Attributes
  • Creating Class Methods and Using Information Hiding
  • Overriding Methods
  • Implementing Multiple Inheritance

  • Using Resources in a Module

  • Identifying Error Scenarios
  • Handling Errors
  • Creating the Custom Exception Class

Frequently Asked Questions

Have questions? We’ve got answers.

  • Yes, you can teach yourself Python using resources like an online Python course for beginners, but joining an instructor-led Python training can provide structure, support, and faster progress.

  • Yes, Python is considered one of the easiest programming languages to learn, especially when taken through an online Python course for beginners that covers concepts step by step.

  • Yes, Python is generally easier than C++ due to its simple syntax and readability. An instructor-led Python training can make learning even more accessible for complete beginners.