Python Programming
From syntax to scripts you actually ship — data structures, OOP, file handling and a first taste of data analytics.
⏱ Duration: 30–40 days
Why learn Python?
Python is one of the most widely used programming languages today, and it's an especially friendly place to start.
- Easy to learn — simple syntax, close to plain English, encourages clean and readable code.
- Genuinely versatile — used for web development, data analysis, machine learning, automation and more.
- Massive libraries — NumPy and Pandas for data, TensorFlow and PyTorch for ML, Flask and Django for the web.
- The go-to language for data science and AI — still the most common starting point for both fields.
- Strong job market demand — used by companies like Google, Netflix and NASA.
Python course syllabus
Seven modules, from your first script to a first data-analytics project.
Module 01
Python basics & syntax
- Variables and data types
- Operators
- Input and output
- Writing clean, readable code
Module 02
Control flow & functions
- if / else conditions
- for and while loops
- Defining and calling functions
- Variable scope
Module 03
Object-oriented programming
- Classes and objects
- Inheritance and encapsulation
- When to use OOP in Python
Module 04
Data structures
- Lists and tuples
- Dictionaries and sets
- Choosing the right structure
Module 05
File handling
- Reading and writing files
- Working with CSV data
Module 06
Automation projects
- Writing scripts that save time
- Task automation basics
Module 07
Introduction to data analytics
- NumPy basics
- Pandas basics
- A first look at real datasets
Where this leads
After this course, students go on to work as Python developers, data analysts, or automation engineers — and many go straight into our data-analytics track.