technical, web development and mobile app development trainings

Python Training Course in IslamabadUnlock Your Potential with Nizi Solutions

Are you ready to take the first step toward a successful career in programming? At Nizi Solutions, we offer a comprehensive Python Training Course designed to equip you with the skills and knowledge needed to excel in the world of software development, data science, and automation.

Whether you’re a beginner or an experienced professional looking to upskill, our course is tailored to meet your needs. Join us in Islamabad and become part of a community that values innovation, creativity, and excellence.


Why Choose Python?

Python is one of the most versatile and in-demand programming languages in the world. From web development and data analysis to artificial intelligence and machine learning, Python powers some of the most cutting-edge technologies today. By learning Python, you open doors to countless opportunities in:

  • Software Development
  • Data Science and Analytics
  • Artificial Intelligence and Machine Learning
  • Automation and Scripting
  • Web Development (Django, Flask)

With its simple syntax and vast libraries, Python is the perfect language for beginners and professionals alike.


What You’ll Learn in Our Python Training Course

Our course is designed to provide hands-on experience and practical knowledge. Here’s what you’ll gain:

1. Python Fundamentals

  • Introduction to Python and its applications
  • Variables, data types, and operators
  • Control structures (loops, conditionals)
  • Functions and modules

2. Advanced Python Concepts

  • Object-Oriented Programming (OOP)
  • File handling and exception handling
  • Working with libraries like NumPy, Pandas, and Matplotlib

3. Web Development with Python

  • Building web applications using Django and Flask
  • Database integration (SQLite, MySQL)
  • REST APIs and web scraping

4. Data Science and Automation

  • Data analysis and visualization
  • Introduction to machine learning with Scikit-Learn
  • Automation using Python scripts

5. Real-World Projects

  • Hands-on projects to apply your knowledge
  • Portfolio-building opportunities
  • Guidance from industry experts

Why Choose Nizi Solutions?

At Nizi Solutions, we believe in empowering our students with the skills they need to succeed. Here’s what sets us apart:

  • Expert Trainers: Learn from industry professionals with years of experience in Python development.
  • Hands-On Learning: Our course focuses on practical, real-world applications.
  • Flexible Schedule: We offer both weekday and weekend classes to fit your busy lifestyle.
  • State-of-the-Art Facilities: Train in a modern, fully-equipped learning environment.
  • Career Support: Get assistance with resume building, interview preparation, and job placement.

Who Should Enroll?

Our Python Training Course is perfect for:

  • Beginners who want to start a career in programming.
  • Professionals looking to upskill and stay competitive.
  • Students who want to enhance their technical knowledge.
  • Entrepreneurs who want to build their own tech solutions.

No prior programming experience is required – we’ll guide you every step of the way!


What Our Students Say

“The Python course at Nizi Solutions transformed my career. The trainers are knowledgeable, and the hands-on projects helped me gain confidence in my skills.” – Ali R., Software Developer

“I had no prior programming experience, but the course was so well-structured that I was able to keep up and even excel. Highly recommended!” – Sara T., Data Analyst


It is protected to say that you are looking for capable Python Training Course in Islamabad, Pakistan? Your chase completes here. Nizi Solutions offers a best Python Development course in Islamabad Pakistan.

Free Technical help for University Students ( only at: techhelp@nizisolutions.com )
Fee Special Discount for University StudentsAlso Free Python Training Course for Needy Students
4 Week Python development Complete Course:
3 Months Python development Course:
6 Months Python development Course:
We also offer Online trainings

Course Details

  • Classes: Online or Visiting tutors also available
  • Class Per Week: 3/4 Days
  • Weekend Course: Available
  • Saturday Sunday: 2 hrs/d
  • Admission Date:  Open

Evening Classes

  • 6:00 to   7:00
  • 7:00 to   8:00
  • 8:00 to   9:00
  • 9:00 to   10:00
  • 10:00 to 11:00
  • 11:00 to  12:00
  • 12:00 to  01:00

Morning Classes

  • 6:00 to   7:00
  • 7:00 to   8:00
  • 8:00 to   9:00
  • 9:00 to   10:00
  • 10:00 to 11:00
  • 11:00 to  12:00




    Pick a Plan That Works for You

    Plan I
    Monthly Course Details
    Instructor-led
    Complete Course
    • Attend our physical training Course.
    • Special Discount for University Graduates.
    • Training Duration: 3 Months.
    • Class Per Week: 3/5.
    • Weekend Classes also Available.
    • online training also available for individuals.
    • Advance level Training for Professional Software Engineers.
    • Group training discounts are available.

    Morning Classes

    • 7:00 am to 11:00 am

    Evening Classes

    • 2:00 pm to 11:00 pm
    Plan II
    Complete Course Details
    Instructor-led
    Complete Course
    • Attend our physical training Course.
    • Special Discount for University Graduates.
    • Training Duration: 4 Weeks complete course.
    • Class Per Week: 3/5.
    • Weekend Classes also Available.
    • online training also available for individuals.
    • Advance level Training for Professional Software Engineers.
    • Group training discounts are available.

    Morning Classes

    • 7:00 am to 11:00 am

    Evening Classes

    • 2:00 pm to 11:00 pm

    Ready to Start Your Python Journey?

    Don’t miss this opportunity to learn one of the most sought-after skills in the tech industry. Join Nizi Solutions today and take the first step toward a brighter future.


    Enroll Now!

    Spaces are limited – secure your spot today!



      Course Outline

      1. Introduction to Python

      • What is Python?
      • Features and advantages of Python
      • Python applications in various industries
      • Setting up the Python environment (IDEs, Jupyter Notebook, etc.)

      2. Python Basics

      • Python syntax and structure
      • Variables, data types, and operators
      • Input and output operations
      • Comments and documentation

      3. Control Flow and Loops

      • Conditional statements (ifelifelse)
      • Loops (forwhile)
      • Break, continue, and pass statements

      4. Data Structures in Python

      • Lists, tuples, sets, and dictionaries
      • Operations and methods for each data structure
      • List comprehensions and dictionary comprehensions

      5. Functions

      • Defining and calling functions
      • Function arguments and return values
      • Lambda functions
      • Scope and lifetime of variables

      6. File Handling

      • Reading and writing files
      • Working with different file formats (text, CSV, JSON)
      • Exception handling in file operations

      7. Object-Oriented Programming (OOP)

      • Classes and objects
      • Inheritance, polymorphism, and encapsulation
      • Methods and constructors
      • Magic methods and operator overloading

      8. Modules and Packages

      • Importing and using modules
      • Creating custom modules
      • Exploring Python’s standard library (e.g., osmathdatetime)

      9. Error and Exception Handling

      • Understanding exceptions
      • Try, except, finally blocks
      • Custom exceptions

      10. Working with Libraries

      • Introduction to popular Python libraries (e.g., NumPyPandasMatplotlib)
      • Basics of data manipulation and visualization

      11. Introduction to Web Development with Python

      • Basics of Flask/Django frameworks
      • Creating simple web applications

      12. Database Connectivity

      • Connecting to databases (e.g., SQLite, MySQL)
      • Performing CRUD operations
      • Using SQLAlchemy for ORM

      13. Introduction to Data Science and Machine Learning

      • Overview of Python’s role in data science
      • Basics of machine learning with libraries like Scikit-learn

      14. Advanced Topics (Optional)

      • Decorators and generators
      • Multithreading and multiprocessing
      • Working with APIs
      • Regular expressions

      15. Capstone Project

      • Building a real-world application using Python
      • Integrating all concepts learned during the course

      16. Career Guidance and Next Steps

      • Python career paths (web development, data science, automation, etc.)
      • Tips for building a portfolio
      • Resources for further learning (books, websites, communities)