The Complete Python Course

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

12 hours 59 minutes
Sessions

On-Demand
Subtitles

English

Found in

Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master Python programming with this all-in-one course. Learn Python's core concepts, from variables and loops to advanced topics like functions, classes, and modules, with hands-on coding experience in Python and PyCharm. Start with setting up Python on Windows and Mac, then dive into variables, operators, type conversions, and input handling. Build a solid foundation through loops, decision-making, and string manipulations. Advance to functions, recursion, lambda expressions, object-oriented programming, and Python data structures like lists, tuples, sets, and dictionaries. This course is perfect for aspiring programmers, software developers, data enthusiasts, and anyone looking to learn Python from scratch. No prior programming knowledge is required. By the end of the course, you will be able to write Python programs confidently, understand and use data structures effectively, create functions and classes, and leverage modules to solve real-world problems efficiently.

Syllabus

Introduction

In this module, we will introduce you to the overall course structure and the learning outcomes you can expect. You will explore Python's core features and understand why it is one of the most popular programming languages today. This foundation will set the stage for your Python learning journey.

Set Up Python

In this module, we will guide you step-by-step through setting up your Python development environment. From installing Python and PyCharm to writing and running your first Python script, you'll gain the confidence to start coding immediately.

Install Python on MAC

In this module, we will focus on the Mac-specific setup for Python programming. You will learn how to install Python and PyCharm on a Mac and configure your system for smooth Python development.

Python Variables

In this module, we will cover the basics of Python variables, including their definition and use. Through practical coding examples, you'll learn how variables serve as fundamental building blocks in Python programs.

Scope of Variables

In this module, we will explore how variable scope affects Python programming. You will learn about the local and global scopes and how to manage variables effectively within different parts of your code.

Python Tokens

In this module, we will delve into Python’s fundamental building blocks called tokens. You will learn about various token types, including keywords, identifiers, and literals, and understand how they form the syntax of Python programs.

Python - Operators

In this module, we will explore the wide range of operators available in Python. You will learn how to manipulate data and control program flow using operators like arithmetic, logical, and bitwise.

Python - Comments

In this module, we will teach you how to use comments effectively to make your Python code more readable and maintainable. You will learn the syntax for both single-line and multi-line comments.

Python – Type Conversion

In this module, we will cover how to convert data types in Python to ensure compatibility and correctness. Through examples, you will understand when and how to change data types in your programs.

Python – Get User Input

In this module, we will show you how to make your Python programs interactive by capturing user input. You will practice using input functions and learn techniques to handle user-provided data effectively.

Python – Decision-Making Statements

In this module, we will dive into Python’s decision-making statements that control the flow of your programs. You will learn how to write conditional code using if, if…else, and if…elif…else structures to build intelligent, responsive applications.

Python – Break and Continue Statements

In this module, we will explore control statements that affect loop execution in Python. You will master using break to terminate loops and continue to skip iterations, enhancing the flexibility of your loops.

Python – Loops

In this module, we will uncover the power of loops in Python programming. You will learn how to automate repetitive tasks with while and for loops, enabling you to write efficient, concise code.

Python – Numbers

In this module, we will introduce Python’s numeric data types and their applications. You will understand the characteristics of integers, floats, and complex numbers and learn how to use them effectively in your code.

Python – Strings

In this module, we will explore one of Python’s most versatile data types—strings. You will learn how to create, manipulate, and transform strings, unlocking powerful text-processing capabilities in your programs.

Python – Functions

In this module, we will explore Python functions as reusable blocks of code. You will learn how to define functions, pass arguments, implement recursion, and return values to write modular and efficient programs.

Python – Lambda Functions

In this module, we will introduce lambda functions—compact, anonymous functions used for short operations. You will work through examples to understand how to implement lambda functions effectively.

Python – Classes and Objects

In this module, we will dive into object-oriented concepts by learning about classes and objects. You will explore how to structure programs using these concepts to build scalable and organized code.

Python – Tuples

In this module, we will explore tuples as fixed collections in Python. You will understand when to use tuples over lists and practice creating and manipulating tuples through hands-on examples.

Python – Dictionary

In this module, we will introduce dictionaries, a powerful way to store and access data using keys. You will learn how to create and manipulate dictionaries to manage complex data efficiently.

Python – Lists

In this module, we will cover lists extensively, demonstrating their flexibility and use cases. You will practice creating lists, combining them, and handling multi-dimensional lists for advanced data structures.

Python – Sets

In this module, we will introduce sets as unordered collections with unique elements. You will learn how to create and utilize sets to perform operations like union, intersection, and difference.

Python – Modules

In this module, we will explore how to structure Python programs using modules. You will learn to import and use built-in and custom modules to write cleaner and more maintainable code.

Python – math Module

In this module, we will delve into the math module that provides mathematical functions and constants. You will learn how to perform advanced math operations easily within your Python programs.

Python – Statistics Module

In this module, we will cover the statistics module for data analysis. You will learn to calculate measures like mean, median, and variance using built-in functions with real-world examples.

Python – Random Modules

In this module, we will introduce the random module that helps generate random numbers and selections. You will practice creating random data to add unpredictability and variation to your programs.