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Python Programming

A practical, project-based introduction to Python for people starting out in programming, testing, data or automation.

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About this course

A practical, project-based introduction to Python for people starting out in programming, testing, data or automation. You learn to write clean, working programs, handle files and data, and use the libraries professionals rely on every day, then bring it all together in a capstone project. No programming background is required; a laptop and curiosity are enough.

Course content

1Getting started
  • Installing Python and an editor; running scripts and the interactive shell
  • Variables, numbers, strings and input/output
  • Writing readable code and comments
2Control flow
  • Conditions, comparisons and logical operators
  • Loops: for, while, break and continue
  • Solving small problems step by step
3Data structures
  • Lists, tuples, sets and dictionaries
  • Slicing, sorting and comprehensions
  • Choosing the right structure for the job
4Functions and modules
  • Defining functions, arguments and return values
  • Scope, recursion basics and lambda functions
  • Importing modules and the standard library
5Files and errors
  • Reading and writing text, CSV and JSON files
  • Exceptions: try, except, finally and custom errors
  • Working with dates, paths and the operating system
6Object-oriented programming
  • Classes, objects and methods
  • Inheritance, encapsulation and special methods
  • Organising a program into modules and packages
7Working with data and the web
  • Virtual environments and installing packages with pip
  • Calling web APIs with requests and handling JSON
  • Introduction to NumPy and pandas for tables of data
8Quality and tools
  • Debugging and logging
  • Writing tests with pytest
  • Version control basics with Git
9Capstone project
  • Plan, build and present a complete program (for example a data-cleaning tool, a web-API client or a small automation)

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Frequently asked questions

Do I need programming experience?

No. The course is a practical introduction for people starting out in programming, testing, data or automation. A laptop and curiosity are enough.

What topics does the course cover?

You start with Python basics, then cover control flow, data structures, functions and modules, files and errors, and object-oriented programming. After that you work with packages, web APIs, NumPy and pandas, and learn debugging, testing with pytest and Git basics.

Will I build a project?

Yes. The course ends with a capstone project where you plan, build and present a complete program, for example a data-cleaning tool, a web-API client or a small automation.

Is this useful for data, testing or automation roles?

The course is designed for people heading into programming, testing, data or automation. It covers the libraries and tools used in those areas, including pandas, API calls, pytest and Git.

How long is the course and will I get a certificate?

The course is 40 hours across 9 modules, taught through live, trainer-led, hands-on sessions. Eligible students receive an Omega Academy certificate with a verification code that anyone can check online.

How to join

  1. Enquire: send a short enquiry for this course or a specific batch.
  2. Talk to us: our team calls you to confirm the batch, timing and fees.
  3. Learn: attend live, hands-on sessions with practical exercises.
  4. Get certified: eligible students receive a certificate that can be verified online.