Course Overview
About Course
Python is a versatile, beginner-friendly programming language widely used in web development, data science, scripting, automation, and more. This 40-hour training teaches Python comprehensively—from fundamentals to real-world applications.
Beginning with installation and environment setup, learners master Python’s basic syntax, variables, and operators. Control flow constructs like conditional statements and loops enable logical programming. Early modules provide in-depth practice with core data structures—lists, tuples, sets, and dictionaries—and efficient data manipulation through comprehensions
Mid-course sessions focus on modular code: defining functions (including recursion), handling files, and robust exception handling. A dedicated module introduces Object-Oriented Programming—equipping learners with skills to create classes, inheritance hierarchies, and encapsulate logic in reusable components
Further exploration covers advanced features: lambda expressions, generators, and iteration protocols. Python’s aptitude for practical tasks is highlighted through modules on file operations, regex, datetime, plus foundational data analysis using popular libraries like NumPy, Pandas, and Matplotlib
The training then moves into specialized areas: web scraping with BeautifulSoup to harvest data from the web, and direct database interactions using SQLite/MySQL for real-time data storage and access. Participants round off with a capstone project: building a Python-based solution—be it data extraction, processing, or a lightweight web application—complete with code review and debugging.
Structured labs, real exercises, and project work ensure learning by doing. The program includes live instructor interaction, by-module assignments, quizzes, sample code, and recordings—all accessible for a year. Career modules help learners transform technical expertise into job readiness, including resume crafting and mock interviews.
By course end, participants emerge with a strong foundation in Python—comprehending core programming constructs, leveraging libraries for data tasks, and confidently delivering full Python-based applications in professional environments.
Course Syllabus
Module 1: Python Setup & Basic Syntax (4 hrs)
- Install Python 3.x, set up IDE/VS Code, explore REPL and file execution.
- Cover basic syntax: print, comments, input/output, variables, data types, typecasting
Module 2: Operators & Control Flow (4 hrs)
- Dive into arithmetic, comparison, logical, identity, membership, bitwise operators
- Flow control: if, if-elif-else, for/while loops, break, continue, pass.
Module 3: Data Structures (6 hrs)
- Build proficiency with lists, tuples, sets, dictionaries: creation, indexing, methods
- Explore comprehension syntax for lists and dicts.
Module 4: Functions & Modules (4 hrs)
- Define functions, parameters, return values, recursion.
- Explore modules, importing built-in libraries and third-party packages.
Module 5: File I/O & Exception Handling (4 hrs)
- File operations: open, read/write, close.
- Learn structured error handling with try/except/finally, custom exceptions
Module 6: Object-Oriented Programming (5 hrs)
- Build classes, objects, attributes, methods, inheritance, polymorphism, encapsulation .
Module 7: Iterators, Generators & Lambdas (4 hrs)
- Understand anonymous functions (lambda), map, filter, generator functions and yield .
Module 8: Advanced Topics (5 hrs)
- Work with datetime, re (regex), networking (sockets), multithreading.
- Intro to libraries: NumPy, Pandas, Matplotlib for data handling and visualization .
Module 9: Web Scraping & Databases (4 hrs)
- Use BeautifulSoup or Scrapy for web scraping.
- Connect to databases (SQLite/MySQL), perform CRUD operations.
Module 10: Capstone Project & Review (4 hrs)
- Build a full-fledged application (e.g., data analysis script, web scraper, Flask mini-app).
- Code review, debugging, QA, and presentation.
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Key Features
- Hands-on labs with real-world tasks: file parsing, web scraping, data visualization.
- Expert-led live sessions: interactive coaching and code reviews.
- Project-centered learning: mini-tasks after modules, culminating in a capstone.
- Resources & support: sample code, environment setup guides, community Q&A.
- Assessment & completion: quizzes, assignments, capstone demonstration.
- 12-month access to recordings and learning material.
- Career support: resume review, mock interviews, guidance for Python job roles.



