Python Development
Roadmap

Python Fundamentals & Syntax
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Data Types, Variables & Control Flow
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Functions & Modular Programming
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Object-Oriented Programming (OOP)
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File Handling & Modulest
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Libraries & Frameworks (NumPy, Pandas, Flask, Django)
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Project Development & Deployment
Foundation Course in Digital Marketing

Course Description

Ready to master Python and build real-world applications, automations and data projects?

This Python Programming course is designed for students, freshers and working professionals who want to start a career in software development, automation, data analysis, web development or machine learning using Python.

We start from absolute basics – syntax, variables, data types, conditions, loops and functions – and move towards object-oriented programming, file handling, error handling, libraries and small projects. You’ll also learn how Python is used in web development (Flask/Django – concept level), data analysis (NumPy / Pandas – introduction) and automation.

By the end of this course, you will be able to write clean, structured Python code, build mini-projects and utilities and confidently introduce yourself as a Python Developer / Python Programmer in interviews.

Comprehensive Curriculum

Core Python Programming from Zero to Advanced Basics
Data Structures, Functions & OOP in Python
File Handling, Modules, Libraries & Virtual Environments
Python for Automation, Scripts & Mini Projects
Introduction to Web & Data with Python (Flask / Pandas – Conceptual & Practical)

What You’ll Learn from this Python Course?

Python basics – installation, IDE setup, first program, syntax, comments
Variables, data types, operators, input/output and type conversion with examples
Control flow – if, elif, else, for & while loops, break/continue and common patterns
Python data structures – lists, tuples, dictionaries, sets, strings and their methods
Functions & modules – parameters, return values, default arguments, lambda, importing modules
Basics of Object Oriented Programming – classes, objects, methods, inheritance (simple level)

Why You Should Learn This?

Python is one of the most popular programming languages in the world. It is used in web development, data science, automation, scripting, testing, APIs, AI & machine learning, DevOps and more.

Learning Python opens doors to multiple career paths – you can start as a Python developer, automation engineer, data analyst (Python), backend developer or junior ML engineer. Even if you come from a non-technical background, Python’s simple and readable syntax makes it beginner-friendly.

At Skills Boost, this Python course is taught in a hands-on, example-driven way. You’ll solve coding exercises, mini-projects, assignments and interview-style questions. You also get exposure to how Python connects with databases, Excel/CSV, web APIs and basic web frameworks.

With live classes, doubt support, project reviews and job preparation guidance, you’ll be ready to start applying for Python-related roles with confidence.

Program Curriculum

Introduction to Python & Setup

Core Syntax, Variables & Control Flow

Python Data Structures – Lists, Tuples, Dicts & Sets

Functions, Modules & Error Handling

Object-Oriented Programming & File Handling

Working with Libraries & Environments

Python for Automation & Real-Life Tasks

Projects, Portfolio & Career Preparation

Tools You will learn.

Python & pip
VS Code / PyCharm (IDE)
Git & GitHub (Version Control Basics)
Command Line / Terminal (Running Python & Virtualenv)
NumPy & Pandas (Intro for Data)
Flask/Django (Concept & Basic Demo)
Postman / Browser Tools for APIs (Concept)
Jupyter Notebook (Optional Intro for Data Work)

Hiring Partners

IT & Software Development Companies
Startups & Product Companies (Python Backends & Automation)
Data & Analytics Teams (Python for Data)
Automation & Scripting Roles in Enterprise IT
Testing / QA Teams using Python Scripts
Freelance & Remote Python Projects (Global Clients)
Service-Based IT Companies with Python Projects
Consulting & Integration Partners (Python Solutions)

Learning Outcomes

After successfully completing this Python course, learners will be ready for Python-based development and automation roles. Students can become…

Python Developer

Python Developer (Junior)

Backend Developer (Python)

Backend Developer (Python)

Automation Engineer

Automation / Scripting Engineer

Data Analyst (Python)

Data Analyst (Python – Entry Level)

Web Developer (Python Stack)

Web Developer (Python-based Stack – Beginner)

QA / Test Automation with Python

Test / QA Automation (Python)

Freelance Python Programmer

Freelance Python Programmer

Ready for Advanced Data / ML

Ready for Advanced Data / ML Tracks

Fee Structure

Python Programming Mastery

Duration: 2–3 Months (Hands-on Training)
Class Duration: 1.5 Hours per Session
Batch Size: Limited to 15 Students
Certification: Industry Recognized Certificate
β‚Ή15,000
β‚Ή7,999
Limited Time Offer
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Course Details

  • Duration: 3 Months
  • Timing: 7:00 PM - 9:00 PM
  • Batch Size: 25 Students

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