Start your programming journey with Python. Learn programming fundamentals, data structures, object-oriented programming, data analysis libraries, Django web development, and practical projects - all in one course.
Python is a versatile, readable, and widely used programming language that supports applications ranging from automation and scripting to data analysis, web development, and artificial intelligence.
The EduBenchers Python course is designed for beginners who want to learn programming from scratch, as well as existing programmers who want to expand their skills. Starting with Python installation, variables, operators, conditional statements, loops, and functions, the course gradually introduces more advanced programming concepts.
You will explore Python data structures, classes, inheritance, recursion, generators, decorators, exception handling, file handling, and modules. The course also introduces popular Python libraries such as NumPy, Pandas, and Matplotlib for working with data, along with Django for web development.
To help you apply what you learn, the course includes two project sections that demonstrate practical applications of Python programming. You will also explore Python's PEP 8 style guide and data serialization using JSON and Pickle.
Whether you are a beginner exploring programming for the first time or a learner preparing to explore data science, automation, or web development, this course provides a broad foundation in Python and its ecosystem.
What you'll learn
Getting Started with Python: Install Python and Visual Studio Code and set up your programming environment.
Programming Fundamentals: Understand variables, operators, input, conditional statements, loops, and basic programming logic.
Strings and Data Structures: Work with strings, lists, tuples, sets, and dictionaries.
Functions and Advanced Concepts: Learn functions, lambda expressions, generators, decorators, recursion, and built-in functions.
Object-Oriented Programming: Understand classes, objects, inheritance, and special methods.
Modules and File Handling: Work with Python modules, date and time utilities, file operations, and path utilities.
Exception Handling: Learn how to handle errors and exceptions in Python programs.
NumPy and Pandas: Get introduced to Python libraries used for numerical operations and data manipulation.
Data Visualization with Matplotlib: Learn the fundamentals of visualising data using charts and plots.
Django Web Development: Explore Django and understand the foundations of building web applications with Python.
Python Coding Standards: Learn about the PEP 8 style guide and writing readable, consistent Python code.
Data Serialization: Understand how JSON and Pickle are used to serialize and deserialize data.
Practical Projects: Apply your learning through a portfolio project and a separate final project.
107 Lessons · 12:23:18 Hours
Beginner-Friendly Programming: Learn a readable programming language that helps you focus on programming logic and problem-solving.
Explore Multiple Career Paths: Build foundational skills that can support further learning in software development, data analysis, automation, and artificial intelligence.
Work with Data: Get introduced to NumPy, Pandas, and Matplotlib for numerical computing, data manipulation, and visualisation.
Explore Web Development: Learn the fundamentals of Django, a popular Python web framework.
Develop Practical Coding Skills: Apply programming concepts through coding challenges, exercises, and projects.
Write Better Code: Understand functions, classes, modules, and the PEP 8 style guide to help organise and maintain your programs.
Build a Foundation for Further Learning: Prepare to explore specialised Python applications such as machine learning, data science, and automation through additional study.
Complete Beginners: Students and individuals who want to learn programming from scratch without prior coding experience.
College Students: Learners who want to strengthen their programming fundamentals and develop practical coding skills.
Aspiring Python Developers: Individuals who want to understand Python and build a foundation for software development.
Future Data Science and AI Learners: Students who want to learn Python fundamentals before moving on to specialised topics such as machine learning, artificial intelligence, and data science.
Aspiring Data Analysts: Learners who want an introduction to NumPy, Pandas, and Matplotlib.
Aspiring Web Developers: Individuals who want to explore web development using Python and Django.
Programmers Learning Python: Developers familiar with other programming languages who want to understand Python syntax, features, and ecosystem.
Learners Who Enjoy Practical Projects: Students who want to reinforce their knowledge by applying concepts in project-based exercises.
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