Class 9th - 12th Track12 Weeks CohortTopic-Linked Attendance Enabled

Python — Basic to Advance

Name: Python — Basic to Advance
Price: 3499 INR
Availability: InStock

Master Python from ground zero to real-world applications. Covers variables, data structures, object-oriented programming, data analysis with NumPy/Pandas, REST APIs, and a live Streamlit AI analytics capstone.

Key Skills You Will Master:

Python 3OOPNumPyPandasMatplotlibStreamlitREST APIsGit

Lead Instructor

Vikramaditya Iyer

Ex-Tech Lead & STEM Mentor (IIT Madras Alum)

Master Python — Basic to Advance — Online Course Overview & Curriculum Thumbnail

Total Program Fee (Full Cohort + Materials)

₹3,499₹4,999Save 30%

Choose Your CohortLive Interactive

Next cohort starting next weekend • 5:00 PM IST

24 Live Hybrid Interactive Sessions

46 Granular Tracked Topics

Downloadable datasets, cheatsheets & spreadsheets

Verifiable Certificate upon 85%+ topic completion

Syllabus Breakdown

Course Structure & Tracked Topics

Click on any module to view live sessions and the exact list of topics tested & tracked for attendance.

Session 1 • 90 Minutes Live

Session 1: Setup & First Program

Granular Tracked Topics (3):

Python & VS Code Installation & REPL

Variables & Data Types (int, float, str, bool)

Type Casting & Print Formatting

Hands-on Challenge: Interactive Temperature & Currency Converter CLI

Convert between Celsius/Fahrenheit and USD/INR with dynamic user input.

Session 2 • 90 Minutes Live

Session 2: Operators & User Input

Granular Tracked Topics (3):

Arithmetic, Comparison & Logical Operators

Taking Input with input() Function

String Interpolation with f-strings

Hands-on Challenge: Restaurant Bill Splitter & Tip Calculator

Calculate per-person shares with custom tax and tip percentages.

Session 3 • 90 Minutes Live

Session 3: Conditional Branching

Granular Tracked Topics (3):

If, Elif, Else Decision Trees

Nested Conditions & Truth Tables

Practice Problem Solving in Logic

Hands-on Challenge: Student Grade & Attendance Eligibility Evaluator

Evaluate passing grades and exam eligibility based on attendance %.

Session 4 • 90 Minutes Live

Session 4: Loops & Iteration

Granular Tracked Topics (3):

For Loops & the range() Function

While Loops & Infinite Loop Prevention

Loop Control: break, continue, pass

Hands-on Challenge: Number Guessing Game with Lives & Replay

Console game using while loops, random numbers, and score tracking.

Session 1 • 90 Minutes Live

Session 5: Strings Deep Dive

Granular Tracked Topics (2):

String Indexing & Slicing Rules

Built-in String Methods (strip, split, join, replace)

Hands-on Challenge: Password Strength Analyzer & Sanitizer

Analyze user passwords for length, uppercase, numbers, and special symbols.

Session 2 • 90 Minutes Live

Session 6: Lists & List Operations

Granular Tracked Topics (2):

List Creation, Indexing & Mutability

List Methods & List Comprehensions

Hands-on Challenge: Daily Task & Priority To-Do Manager

Manage a list of tasks with priority tags, sorting, and completion checks.

Session 3 • 90 Minutes Live

Session 7: Tuples & Sets

Granular Tracked Topics (2):

Tuples vs Lists & Immutability Use Cases

Set Operations (Union, Intersection, Deduplication)

Session 4 • 90 Minutes Live

Session 8: Dictionaries & Nested Data

Granular Tracked Topics (2):

Key-Value Mapping & Dictionary Methods

Iterating Dictionaries & Nested JSON-like Data

Hands-on Challenge: Contact Book CLI with Search & Update

Key-value dictionary phonebook with search, addition, and JSON backup.

Beginner Milestone Project: Interactive CLI Banking System

A console banking application featuring PIN authentication, balance queries, deposits, withdrawals, and transaction history using nested dictionaries.

Deliverable: Complete Python script with multi-account dictionary store and input validations.

Session 1 • 90 Minutes Live

Session 9: Functions & Parameters

Granular Tracked Topics (2):

Defining Functions & Return Values

Positional, Default, *args and **kwargs Arguments

Hands-on Challenge: Multi-Unit Geometric Math Library

Create modular functions calculating 2D/3D shapes areas and perimeters.

Session 2 • 90 Minutes Live

Session 10: Scope & Recursion

Granular Tracked Topics (2):

Local vs Global Scope & the global Keyword

Recursion Fundamentals & Base Cases

Session 3 • 90 Minutes Live

Session 11: Modules, Packages & pip

Granular Tracked Topics (2):

Importing Built-in Modules (math, random, datetime)

Package Management with pip & Custom Modules

Session 4 • 90 Minutes Live

Session 12: Robust Exception Handling

Granular Tracked Topics (2):

Try, Except, Else, Finally Blocks

Raising Custom Exceptions & Best Practices

Hands-on Challenge: Crash-Proof File & Numeric Input Reader

Gracefully catch ZeroDivisionError, ValueError, and FileNotFoundError.

Session 1 • 90 Minutes Live

Session 13: Classes, Objects & Constructors

Granular Tracked Topics (2):

Class Definition, self, and __init__ Constructor

Instance Attributes vs Class Variables

Hands-on Challenge: School Directory Class Model

Model Student and Teacher objects with auto-generated ID numbers.

Session 2 • 90 Minutes Live

Session 14: OOP Principles (Inheritance & Polymorphism)

Granular Tracked Topics (2):

Single & Multi-level Inheritance and super()

Encapsulation, Getters/Setters & Polymorphism

Hands-on Challenge: Vehicle Rental Fleet System

Base class Vehicle with specialized Car, Bike, and Truck rental calculations.

Session 3 • 90 Minutes Live

Session 15: File Handling (TXT, CSV, JSON)

Granular Tracked Topics (2):

Reading & Writing Files with Context Managers

Parsing and Serializing CSV and JSON data

Intermediate Milestone Project: Automated Expense Tracker & CSV Reporter

An OOP expense manager that organizes spending, saves/loads encrypted CSV data, and produces statistical summaries.

Deliverable: Modular Python OOP classes with file persistence and category breakdowns.

Session 1 • 90 Minutes Live

Session 16: System Automation & OS Utilities

Granular Tracked Topics (1):

OS & Shutil Modules for Directory Automation

Session 2 • 90 Minutes Live

Session 17: Intro to NumPy

Granular Tracked Topics (2):

NumPy Arrays & Multidimensional Slicing

Vectorized Arithmetic & Statistical Operations

Hands-on Challenge: Matrix Math & Grayscale Image Array Processing

Perform vectorized matrix math on multi-dimensional numerical arrays.

Session 3 • 90 Minutes Live

Session 18: Intro to Pandas DataFrames

Granular Tracked Topics (2):

Series & DataFrames Creation & Indexing

Filtering, Missing Data Handling & Groupby

Hands-on Challenge: 10,000-Row Retail Sales Dataset Cleaning

Filter orders, replace nulls, and extract revenue metrics with Pandas.

Session 4 • 90 Minutes Live

Session 19: Data Visualization with Matplotlib

Granular Tracked Topics (2):

Bar, Line, Histogram & Scatter Visualizations

Chart Customizations, Legends & Color Maps

Session 1 • 90 Minutes Live

Session 20: Advanced Python Comprehensions & Lambdas

Granular Tracked Topics (1):

Lambda Expressions, Map, Filter & Reduce

Session 2 • 90 Minutes Live

Session 21: REST APIs & Requests

Granular Tracked Topics (1):

HTTP Methods (GET/POST) & JSON Responses

Hands-on Challenge: Live Weather & AQI Fetcher CLI

Fetch and format live city weather metrics using the OpenWeather REST API.

Session 3 • 90 Minutes Live

Session 22: Capstone Architecture & Streamlit UI

Granular Tracked Topics (1):

Streamlit Framework UI Widgets & Layouts

Session 4 • 90 Minutes Live

Session 23: Guided Capstone Build

Granular Tracked Topics (1):

Ingesting 10-Year IPL Data & Model Logic

Session 5 • 90 Minutes Live

Session 24: Capstone Presentation & GitHub Portfolio

Granular Tracked Topics (1):

Project Demo, Code Review & Resume Structuring

Graduation Capstone Portfolio

IPL Cricket Match Analytics & AI Match Prediction Web App

Build an interactive web application that ingests 10 years of IPL match data, visualizes team/player metrics, and predicts match outcomes with custom logic.

Deliverable:

Live Streamlit Web App + GitHub Repository + Video Walkthrough

What You Will Be Able To Do

Write clean, modular, and error-free Python code

Implement Object-Oriented software architectures with inheritance and encapsulation

Analyze 50,000+ row datasets using Pandas and visualize trends with Matplotlib/Seaborn

Build and deploy interactive web applications using Streamlit and public REST APIs

Prerequisites

No prior coding experience required. Standard laptop/computer with internet.

Python — Basic to Advance

Course Structure & Tracked Topics

Module 1: Python Foundations & Control Flow

Session 1: Setup & First Program

Session 2: Operators & User Input

Session 3: Conditional Branching

Session 4: Loops & Iteration

Module 2: Python Data Structures

Session 5: Strings Deep Dive

Session 6: Lists & List Operations

Session 7: Tuples & Sets

Session 8: Dictionaries & Nested Data

Module 3: Functions, Modularity & Error Handling

Session 9: Functions & Parameters

Session 10: Scope & Recursion

Session 11: Modules, Packages & pip

Session 12: Robust Exception Handling

Module 4: Object-Oriented Programming (OOP) & Files

Session 13: Classes, Objects & Constructors

Session 14: OOP Principles (Inheritance & Polymorphism)

Session 15: File Handling (TXT, CSV, JSON)

Module 5: Practical Data Analysis & Visualization

Session 16: System Automation & OS Utilities

Session 17: Intro to NumPy

Session 18: Intro to Pandas DataFrames

Session 19: Data Visualization with Matplotlib

Module 6: Web APIs, Streamlit & Capstone

Session 20: Advanced Python Comprehensions & Lambdas

Session 21: REST APIs & Requests

Session 22: Capstone Architecture & Streamlit UI

Session 23: Guided Capstone Build

Session 24: Capstone Presentation & GitHub Portfolio

IPL Cricket Match Analytics & AI Match Prediction Web App

What You Will Be Able To Do

Prerequisites