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.
This Course Includes:
$1499
Enroll NowAbout 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
Explore your next online class schedule.
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
JOB Roles You Can Apply For
Components Available
Hands-on Labs
31+ Laboratorio en vivo | 12:43+ Hours
Interactive lessons
13+ Lecciones interactivas | 43+ Ejercicios | 61+ cuestionarios | 138+ Tarjetas didácticas | 138+ Glosario de términos
Video lessons
31+ Vídeos | 12:43+ Hours
Skills You'll Gain
Lesson Plan
- About the Course
- Learning Objectives
- Audience
- Approach
- Minimum Hardware Requirements
- Software Requirements
- Conventions
- Installation
- Introducción
- Trabajando con la consola interactiva de Python
- Cómo escribir y ejecutar scripts sencillos
- Variables
- Entrada de usuario, comentarios y sangrías
- Resumen
- 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
- Utilizando el método de impresión
- Mostrar una declaración varias veces
- Uso de la asignación de variables
- Uso de variables y sentencias de asignación
- Visualización de la tabla de multiplicar mediante bucles
- Uso de operadores aritméticos
- Realizar tareas de segmentación de cadenas
- Trabajar con cuerdas
- Manipulación de cadenas mediante el método strip
- Trabajar con listas
- Uso de operadores booleanos
- Trabajar con la instrucción if
- Trabajando con la declaración while
- Utilizando el bucle for y la función range
- Uso de bucles anidados
- Trabajar con argumentos de funciones
- Uso de funciones Lambda
- Uso de métodos de lista
- Utilizando métodos de tuplas
- Organización y presentación de datos mediante diccionarios
- Combinación de diccionarios
- Creación de intersecciones de elementos en una colección
- Definición de métodos en una clase
- Creación de atributos de clase
- Creación de métodos de clase y uso de ocultación de información
- Métodos de anulación
- Implementación de la herencia múltiple
- Uso de recursos en un módulo
- Identificación de escenarios de error
- Manejo de errores
- Creación de la clase de excepción personalizada
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.