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Advanced Python Programming Course in Pakistan – Online Classes and On-Campus in Abbottabad

Available on campus in Abbottabad, live online across Pakistan, or hybrid. New batch every month; classes Monday to Saturday, 9:00 AM to 9:30 PM.

Duration

12 weeks

Level

Advanced

Course Description

This Python course in Abbottabad takes you from beginner to job-ready in 12 weeks, covering core Python, object-oriented programming, automation, web development with Flask and Django, and data science essentials with Pandas, NumPy and Scikit-learn. It is designed for university students, job seekers, career switchers and freelancers who want a practical programming skill, with no prior coding required. Join on campus in Abbottabad, live online from anywhere in Pakistan, or hybrid; the fee is Rs. 30,000 (regular Rs. 40,000), payable in 2 installments.

Course at a glance

ItemDetails
Duration12 weeks
ModeOn campus (Abbottabad), live online, or hybrid
Next batchNew batch every month
TimingsMorning, afternoon, evening and weekend slots (confirm on WhatsApp)
FeeRs. 30,000 (regular Rs. 40,000); 2 installments
LevelFrom beginner to job-ready
InstructorUmar Qureshi
CertificatePSTA certificate, verifiable at psta.com.pk/certificate
CampusMandian, Old College Road, opposite FIMS College, Abbottabad

What you will learn

  • Install Python and write clean, efficient programs using variables, data types and operators.
  • Control program flow with conditional statements, loops, functions, lambda and recursion.
  • Apply object-oriented programming to organise code into classes and reusable modules.
  • Read and write files and handle errors properly with exception management.
  • Use built-in modules and install external libraries for real tasks.
  • Automate repetitive work such as file organising, data cleaning and report generation.
  • Build web applications with Flask and Django.
  • Analyse and visualise data with Pandas, NumPy and Matplotlib.
  • Train your first machine learning models with Scikit-learn.
  • Complete a final project for your portfolio.

Course outline

  1. Introduction to Python and Installation
  2. Variables, Data Types and Operators
  3. Conditional Statements and Loops
  4. Functions, Lambda and Recursion
  5. Object-Oriented Programming (OOP)
  6. File Handling and Exception Management
  7. Working with Modules and External Libraries
  8. Scripting and Automation Projects
  9. Web Development with Flask/Django
  10. Data Science Essentials (Pandas, NumPy, Matplotlib)
  11. Machine Learning with Scikit-learn
  12. Final Project: Web App, Data Tool or Automation Script

Projects you will build

  • Command-line tools: a calculator, a quiz game and a contact book that practise loops, functions and file handling.
  • Automation script: a program that renames and sorts files in bulk or cleans up a messy Excel/CSV sheet automatically.
  • Flask or Django web app: a small website with user forms and a database, such as a to-do app or a student record system.
  • Data analysis report: load a real dataset with Pandas, summarise it and plot charts with Matplotlib.
  • Machine learning model: a simple prediction or classification model with Scikit-learn, for example predicting prices from sample data.

Who should join

  • University students of CS, IT or engineering who want strong practical skills beyond the syllabus.
  • Job seekers preparing for programming, data or automation roles.
  • Professionals switching careers into tech from another field.
  • Freelancers who want to offer Python scripting, scraping and data services online.
  • Business owners and office staff who want to automate reports and data tasks.
  • Enthusiasts who simply want to learn programming the right way, from the start.

Career paths after the course

  • Python Developer: writes applications, scripts and backend code in Python.
  • Web Developer (Flask/Django): builds web applications and APIs with Python frameworks.
  • Data Analyst: cleans, analyses and visualises data with Pandas and Matplotlib.
  • Automation Specialist: builds scripts that save businesses hours of manual work.
  • Freelance Python Developer: offers scripting, scraping, data and web services on Upwork and Fiverr.

These are the roles graduates typically apply for. If data interests you most, our Power BI course pairs well with the data science modules, and the AI Automation course builds on the scripting skills you gain here.

Python course in Abbottabad: on campus

Our campus is at Mandian, Old College Road, opposite FIMS College, Abbottabad, open Monday to Saturday from 9:00 AM to 9:30 PM (Sunday closed). On-campus students write code in class with the instructor beside them, which makes debugging and asking questions much faster. Students from Mansehra, Haripur and Havelian regularly attend, and the morning, afternoon, evening and weekend slots let you fit the course around university or a job.

Python course online in Pakistan

If you are not in Abbottabad, you can take the same Python course online through PSTA's learning portal. Classes are live, so you can ask questions as you code, and every session is recorded for revision. Students from Islamabad, Rawalpindi, Lahore, Karachi, Peshawar, Multan and Quetta study with us this way and receive the same PSTA certificate as on-campus students. Hybrid students can attend some sessions on campus when they are in town.

Fee and admission

The fee is Rs. 30,000 (regular fee Rs. 40,000) and can be paid in 2 installments: half at admission and half mid-course. To apply, click the Enroll button on this page or send a WhatsApp message to +92 314 5424399 with your city and preferred mode (on campus, online or hybrid). You can also check the admission page for the full process, or contact us with any question. Before the first class, read our post on Python projects for beginners to see the kind of work you will be doing.

Frequently asked questions

What is the Python course fee in Pakistan at PSTA?

The fee is Rs. 30,000, discounted from the regular fee of Rs. 40,000. You can pay in 2 installments, half at admission and half mid-course.

How long is the Python course?

The course runs for 12 weeks, and a new batch starts every month.

Is the Python course available online?

Yes. You can join live online from anywhere in Pakistan through PSTA's learning portal, with recordings of every class, or choose the hybrid option to mix online and on-campus sessions.

Do I need maths or prior coding?

No prior coding is needed; the course starts from installation and basic syntax. Basic school maths is enough, including for the data science and machine learning modules.

How do I verify the certificate?

You get a PSTA certificate on completion. It can be verified by anyone at psta.com.pk/certificate using your student ID or serial number.

What are the timings and when does the next batch start?

A new batch starts every month with morning, afternoon, evening and weekend slots. Message us on WhatsApp to confirm the slot that suits you.

Will I learn both web development and data science in one course?

Yes. After the core Python modules, the course covers web development with Flask and Django as well as data science with Pandas, NumPy and Matplotlib and an introduction to machine learning with Scikit-learn, so you can choose your direction for the final project.

What You'll Learn

Understand and write efficient Python code

Master functions, OOP, and modular programming

Build web applications using Flask/Django

Use Python for automation, scripting, and problem-solving

Work with data using Pandas, NumPy, and Matplotlib

Get a strong foundation in machine learning and data science

Build a real project portfolio to boost your CV

Course Modules

Introduction to Python & Installation

Variables, Data Types, and Operators

Conditional Statements & Loops

Functions, Lambda, and Recursion

Object-Oriented Programming (OOP)

File Handling & Exception Management

Working with Modules & External Libraries

Scripting & Automation Projects

Web Development with Flask/Django

Data Science Essentials (Pandas, NumPy, Matplotlib)

Machine Learning with Scikit-learn

Final Project – Web App, Data Tool, or ML Model

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