Skip to content

PYTHON

Introduction to the Course

A high-level, all-purpose programming language is Python. Code readability is prioritised in its design philosophy, which makes heavy use of indentation. Python uses garbage collection and has dynamic typing. It supports a variety of paradigms for programming, including functional, object-oriented, and structured programming.

By leveraging the guided discussions, activities, resources, and other materials in these trainings, the participant will build his/her knowledge, skills, and abilities related to:

Describe the basics of the Python programming language.

Describe the basics of the Python programming language.
Install Python and write your first program.
Use variables to store, retrieve and calculate information.
Utilize core programming tools such as functions and loops.

Course Outline

  • Module 1: Introductory Session + Variables
  • Module 2: Python Lists Operations
  • Module 3: Conditional Statements
  • Module 4: For Loop and While Loop
  • Module 5: Functions & Tuple
  • Module 6: Pandas (Data Frames + CSV Files)
  • Module 7: Matplotlib Library
  • Module 8: Tkinter Library 8 Homework
  • Module 9: Numpy Library

Course Description

  • Duration: 2 Months
  • Total Duration: 48 Hours
  • Daily Class Timings: 3 Hours
  • Theory: 18 Hours
  • Practical: 30 Hours
  • Classes offered: Morning, Afternoon
  • Course Level: Intermediate/ Basic/ Advanced
  • For Girls: Sat & Sun (Morning)
  • For Boys: Sat & Sun (Evening)

Certification

  • Internationally Recognized Certificate CBT&A (Competency Based Training & Assessment).

Methodology

  • Theory: 20%
  • Practical: 80%
  • Institute Based Training: 5 Months
  • On The Job Training: 1 Month

Requirements for Admission

  • Valid CNIC
  • Qualification: Matriculation
  • Age Limit: 16 to 45.

Opportunities for employment and advancement

It’s simple to comprehend Python, and once you do, you may use those abilities to launch a fantastic career in the quickly growing data science sector. Even better, as more and more machine learning applications are developed daily, there will be a high need for Python programmers, which will benefit your career.