This 45-day Python course takes beginners through the essentials of Python
programming, emphasizing its simplicity and versatility. Covering basics like variables,
loops, and I/O, it advances to core data structures (lists, dictionaries), OOP, and
advanced concepts like generators, decorators, and libraries (e.g., Pandas, requests).
With mini-projects (e.g., To-Do List) and a capstone project (e.g., URL Shortener), the
course equips learners with skills for scripting, data analysis, and web development,
preparing them for diverse tech roles.
This course is ideal for beginners to cloud computing, IT professionals, developers, and anyone looking to gain expertise in AWS cloud services. Whether you're new to AWS or looking to deepen your knowledge, this course is designed to cater to various skill levels.
No, it’s beginner-friendly and starts from scratch.
You’ll learn Python basics, data structures, OOP, file handling, libraries (e.g., Pandas),
and build projects like a Weather App.
Yes, an MSME and DPIT Recognised Workshop Completion Certificate is provided.
You can use PyCharm, VS Code, IDLE, or any Python-supported IDE.
Yes, mini-projects (e.g., To-Do List) and a capstone project (e.g., URL Shortener) are
included.
It equips you for roles in scripting, data analysis, and web development with strong
problem-solving skills.
In the foundational week, we’ll cover the essential building blocks of Python. You’ll learn the basics of programming, Python syntax, and control structures that form the core of this versatile language.
In Week 2, you’ll explore the principles of Object-Oriented Programming (OOP). You'll learn how to create and work with classes and objects, and understand core concepts like inheritance, polymorphism, and encapsulation.
In Week 3, you’ll dive into Object-Oriented Programming (OOP), exception handling, file operations, and modules, equipping you for structured and modular programming.
In Week 4, you’ll master advanced Python features like list comprehensions, lambda functions, decorators, generators, and working with libraries such as requests.
In Week 5, you’ll apply Python to real-world tasks using CSV/JSON handling, Pandas for data analysis, and multithreading. You’ll also start a larger project.
In Week 6, you’ll refine your skills through project completion, debugging, and coding challenges. You’ll explore Python documentation and build a capstone project.
Join our thriving community of engineers and innovators! Connect, collaborate, and gain access to valuable resources, industry insights, and career-boosting opportunities. Take your engineering journey to the next level with expert guidance, networking, and continuous learning.
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