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Learn Programming Course
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Learn Programming Course

4.5

Learn Programming gives you a complete foundation in software development, from setting up your first environment to building tested, deployable applications. You'll master core syntax, data structures, object-oriented design, and professional best practices. This course takes you from zero to writing clean, functional code with confidence.

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What you will learn:

You will start by understanding how computers execute code and how to plan solutions before writing a single line. From there, you will work through variables, control flow, functions, and data structures. You will apply object-oriented programming to model real-world problems and learn to read and write files, consume APIs, and store data. You will also practice version control with Git, write automated tests, and follow secure coding standards. By the end, you will complete a full capstone project that brings every skill together.

How you study in a practical way Learn Programming Course

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Course content

8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)

Chapter 1See details

Programming Fundamentals and Mindset

  • Lesson 1 • Choosing Your First Language

    Compares beginner-friendly languages by syntax clarity, community size, and job demand. Students select one language to use throughout the course.

  • Lesson 2 • Setting Up a Development Environment

    Guides installation of a code editor, runtime, and terminal. A working local environment is required for all hands-on exercises.

  • Lesson 3 • How Computers Execute Code

    Covers CPU, memory, and instruction cycles at a conceptual level. Grounds all later syntax study in hardware reality.

  • Lesson 4 • Problem-Solving Before Coding

    Introduces pseudocode and flowcharts as pre-coding tools. Trains the habit of planning logic before writing syntax.

Chapter 2See details

Core Syntax and Data Types

  • Lesson 1 • Comments and Code Readability

    Establishes commenting standards and readable formatting habits. Clean code practices introduced here are enforced in all later projects.

  • Lesson 2 • Primitive Data Types

    Covers integers, floats, booleans, and strings as the atomic units of data. Students convert between types and avoid common type errors.

  • Lesson 3 • Operators and Expressions

    Teaches arithmetic, comparison, and logical operators and their precedence rules. Students evaluate complex expressions without ambiguity.

  • Lesson 4 • Variables and Assignment

    Explains how variables store and reference values in memory. Establishes naming conventions and scope awareness used in every subsequent chapter.

  • Lesson 5 • Input and Output Operations

    Demonstrates reading user input and printing formatted output. Connects raw data handling to interactive program behavior.

Chapter 3See details

Control Flow and Logic

  • Lesson 1 • Error Handling Basics

    Introduces try-catch blocks and graceful failure strategies. Students prevent crashes from invalid input or unexpected runtime states.

  • Lesson 2 • Conditional Statements

    Covers if, else-if, and else branches for decision-making. Students model real-world rules as branching logic trees.

  • Lesson 3 • Comparison and Boolean Logic

    Deepens understanding of truth tables, short-circuit evaluation, and compound conditions. Prevents common logical bugs in branching code.

  • Lesson 4 • Loops and Iteration

    Introduces while and for loops as tools for repeating operations. Students choose the correct loop type for each scenario.

  • Lesson 5 • Nested Loops and Patterns

    Applies loops within loops to solve grid and matrix problems. Builds the spatial reasoning needed for data structure traversal later.

Chapter 4See details

Functions and Code Organization

  • Lesson 1 • Defining and Calling Functions

    Covers function syntax, parameters, and return values as the foundation of modular design. Every project from this point uses functions.

  • Lesson 2 • Default and Keyword Arguments

    Teaches optional parameters and named argument passing for flexible function interfaces. Students design APIs that are easy to call correctly.

  • Lesson 3 • Scope and Variable Lifetime

    Explains local vs. global scope and how variable lifetime affects program state. Prevents hard-to-debug scope-related bugs.

  • Lesson 4 • Organizing Code into Modules

    Demonstrates splitting code across files and importing functionality. Prepares students for working in multi-file projects and third-party libraries.

  • Lesson 5 • Recursion Fundamentals

    Introduces recursive thinking through factorial and Fibonacci examples. Builds the mental model needed for tree traversal and divide-and-conquer algorithms.

Chapter 5See details

Data Structures: Lists, Dicts, and Sets

  • Lesson 1 • Sets and Uniqueness

    Introduces sets for deduplication and membership testing. Covers set operations that mirror mathematical set theory.

  • Lesson 2 • Tuples and Immutable Sequences

    Explains when immutability is an advantage over lists. Students use tuples for fixed records and function return bundles.

  • Lesson 3 • Lists and Arrays

    Covers ordered, mutable sequences and their core operations. Lists are the most common structure used in all subsequent projects.

  • Lesson 4 • Comprehensions and Transformations

    Applies list, dict, and set comprehensions for concise data transformation. Replaces verbose loops with readable one-liners.

  • Lesson 5 • Dictionaries and Key-Value Stores

    Teaches hash-map semantics for fast lookups by key. Students model real-world entities as dictionaries before learning classes.

Chapter 6See details

Object-Oriented Programming

  • Lesson 1 • Encapsulation and Access Control

    Covers public, protected, and private members and why hiding state matters. Students enforce data integrity through controlled access.

  • Lesson 2 • Polymorphism and Interfaces

    Teaches duck typing and interface contracts for flexible, interchangeable components. Students write code that works with any conforming object.

  • Lesson 3 • Inheritance and Code Reuse

    Demonstrates parent-child class relationships and method overriding. Students extend existing classes without modifying their source.

  • Lesson 4 • Classes and Objects

    Introduces class syntax, constructors, and instance creation. Establishes the object model that underpins all OOP patterns.

  • Lesson 5 • OOP Design Principles

    Introduces SOLID principles and common design smells. Students evaluate class designs for cohesion, coupling, and maintainability.

Chapter 7See details

File I/O, APIs, and Data Persistence

  • Lesson 1 • Working with CSV and JSON

    Teaches parsing and serializing the two most common data interchange formats. Students load real datasets and export processed results.

  • Lesson 2 • Introduction to Databases

    Introduces relational database concepts and basic SQL queries. Students store and retrieve structured data beyond flat files.

  • Lesson 3 • Environment Variables and Configuration

    Teaches storing secrets and settings outside source code. Prevents credential leaks and enables environment-specific deployments.

  • Lesson 4 • Reading and Writing Files

    Covers text and binary file operations using context managers. Establishes safe file handling patterns used in all data-driven projects.

  • Lesson 5 • Consuming REST APIs

    Demonstrates HTTP request methods and JSON response parsing. Students integrate live external data into their programs.

Chapter 8See details

Algorithms, Testing, and Best Practices

  • Lesson 1 • Code Quality and Refactoring

    Applies linting, formatting tools, and refactoring patterns to improve existing code. Students transform working but messy code into clean, professional output.

  • Lesson 2 • Capstone Project Planning

    Guides students through scoping, designing, and delivering a complete solo project. Integrates all core skills into one deployable, tested application.

  • Lesson 3 • Searching and Sorting Algorithms

    Covers linear search, binary search, bubble sort, and merge sort with complexity analysis. Students choose algorithms based on data size and structure.

  • Lesson 4 • Debugging Strategies

    Teaches systematic debugging using print statements, breakpoints, and stack traces. Students resolve bugs faster with a repeatable diagnostic process.

  • Lesson 5 • Writing Automated Tests

    Introduces unit testing frameworks and the arrange-act-assert pattern. Every function written from this point has a corresponding test.

Certification

Your valid completion certificate

This course is for you:

  • Career changers: looking to move into software development from an unrelated field.

  • Non-technical professionals: wanting to automate tasks and collaborate better with developers.

  • College students: seeking practical coding skills to complement their academic coursework.

  • Entrepreneurs: aiming to prototype their own digital products without hiring a developer.

  • Hobbyists: curious about how software works and eager to build personal projects.

  • Recent graduates: ready to add programming to their resume and expand job prospects.

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
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Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
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André FelipePrompt Engineering Student

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