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Python Python Programming

Python

Python is the language everyone recommends starting with, and for good reason — it's readable, powerful and everywhere, from web to data to automation. This course takes you from variables and loops to functions, data structures, files and a real project. No prior coding needed, and every session is live and personal.

Duration
1.5 mths
Format
Live 1-on-1
Level
Professional
Certificate
Osian NSDC
Overview

What this course is about

Build a dependable programming foundation with a Python course online designed around your pace and goals. Your teacher explains variables, data types, operators, conditions, loops, functions, modules, lists, tuples, dictionaries and sets through guided practice. You will work in VS Code or PyCharm, learn how to read errors, use the terminal and organise a small project. The teaching style suits beginners who want to learn Python after 12th as well as learners changing careers.

The course moves from syntax to useful programming habits. You will practise object oriented programming with classes, constructors and inheritance, then handle text files, CSV data, exceptions and basic packages. Pandas basics introduce tables, filtering and simple summaries without pretending to be a full data science programme. Exercises can include a file organiser, expense tracker, quiz app or contact manager, so every concept is connected to a real task and explained by your personal teacher.

Live one-on-one online classes make it easier to ask why a program works, not just copy code. You can choose a learning rhythm around college, work or home responsibilities, with classes available between 7 AM and 9 PM or on weekends. By the end, you will have practice projects to discuss in interviews and a clearer route towards automation, testing, data work or web development. Osian Academy also provides a completion certificate and placement support with resume help, mock interviews and referrals.

By the end

What you’ll be able to do

  • Write Python programs using variables, conditions, loops and functions
  • Apply lists, dictionaries, sets and tuples to solve everyday coding problems
  • Build classes using object oriented programming principles
  • Read and write text, CSV and structured files with error handling
  • Use VS Code or PyCharm, the terminal and basic package workflows
  • Create a small automation or data project and explain its design
Syllabus

How the course flows

  1. 1
    Python FoundationsWeek 1

    Variables, data types, conditionals and loops — thinking in code.

  2. 2
    Functions & ModulesWeek 2

    Writing reusable functions and organising code into modules.

  3. 3
    Data StructuresWeek 3

    Lists, dictionaries, sets and tuples, and when to use each.

  4. 4
    Files, Errors & OOPWeek 4

    Reading/writing files, handling errors, and classes and objects.

  5. 5
    Libraries & a Real ProjectWeeks 5–6

    Using pip packages and building a small end-to-end project.

Toolkit

Tools you’ll use

  • Python 3
  • VS Code
  • Jupyter Notebook
  • pip
  • Git
Audience

Who this course is for

  • School learners after 10th or 12th starting their first programming language
  • BCA, BSc IT and BTech students needing stronger practical Python skills
  • Job seekers preparing for beginner coding interviews and project discussions
  • Working professionals exploring automation or a move into software roles
  • Homemakers returning to work who prefer guided 1-on-1 coding classes
Where it leads

Roles this opens up

  • Python Trainee Developer

    Use core Python, files and small projects as a starting point for entry level development work.

  • Automation Support Associate

    Create practical scripts for repetitive file, text and reporting tasks under team guidance.

  • Junior Data Assistant

    Prepare simple tables and summaries with Python and Pandas basics for business teams.

Questions

Before you enrol

No, the course starts with variables, input, conditions and loops, so beginners can learn step by step. Basic comfort using a laptop and typing is enough.

A regular laptop with a stable internet connection is suitable for the exercises. You can use VS Code with Python, or PyCharm Community Edition if your system supports it.

The teacher will use a current Python 3 release and show you how to check the interpreter selected in your IDE. The focus is on transferable Python 3 programming rather than one narrow version.

You practise common logic problems, functions, data structures, file handling and object oriented concepts that appear in coursework and beginner interviews. You also learn to explain your code and debug errors instead of relying on memorised answers.

You can build a practical project such as an expense tracker, quiz application, contact manager or file organiser based on your interests. The teacher helps you break it into functions, test it and present the result.

This course concentrates on Python fundamentals, problem solving, files, basic Pandas and small automation projects. The Advanced Python Django course assumes those foundations and focuses on web applications, databases, routing and deployment concepts.