55264-A: Introduction to Programming Using Python Course Overview

55264-A: Introduction to Programming Using Python Course Overview

The 55264-A: Introduction to Programming Using Python course is a comprehensive paid python course that provides learners with the foundational skills necessary to start programming in Python. Designed for beginners, this intro to python programming course covers essential concepts such as data types, operators, control flow, input/output operations, code documentation, error handling, and the use of modules. Through a series of modules, each consisting of lessons and hands-on labs, participants will learn to write Python code effectively and solve real-world problems. The structured learning ensures that by the end of the course, learners are proficient in writing Python code, performing operations, debugging, and leveraging Python's extensive ecosystem of modules and tools, thus setting a solid foundation for further programming endeavors and career advancement.

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  • Live Online Training (Duration : 40 Hours)
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  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure that students are adequately prepared and can fully benefit from the 55264-A: Introduction to Programming Using Python course, the following are the minimum required prerequisites:


  • Basic understanding of computer operations, such as running programs and saving files in different directories.
  • Familiarity with the concept of a 'program' as a series of instructions that a computer follows to perform a task.
  • An understanding of what a variable is in the context of programming (not specific to any programming language).
  • Ability to perform operations on a personal computer, including installing new software.
  • Basic problem-solving skills to approach challenges systematically.
  • Willingness to learn and adapt to new concepts, as programming involves continuous learning and adaptation.
  • No prior programming experience is required, but any experience with writing code in any language would be beneficial.

Note: This course is designed with beginners in mind, and the instructors will guide students through the basics of Python programming. The goal is to build a solid foundation in Python and programming concepts.


Target Audience for 55264-A: Introduction to Programming Using Python

Course 55264-A: Introduction to Programming Using Python is designed for beginners seeking foundational skills in Python programming.


  • Aspiring Programmers and Developers
  • Data Analysts and Scientists
  • Students in Computer Science or Software Engineering
  • Technical Professionals looking to upskill
  • Hobbyists interested in learning programming
  • IT Professionals needing to automate tasks
  • Business Analysts wanting to understand data manipulation
  • Educators and Teachers preparing to teach programming
  • Quality Assurance Testers looking to write automation scripts
  • System Administrators interested in scripting for task automation
  • Non-technical roles seeking a basic understanding of programming concepts


Learning Objectives - What you will Learn in this 55264-A: Introduction to Programming Using Python?

Introduction to the Course's Learning Outcomes and Concepts Covered

The 55264-A: Introduction to Programming Using Python course equips students with foundational Python programming skills, focusing on data types, control flow, I/O operations, code documentation, error handling, and the use of modules.

Learning Objectives and Outcomes

  • Understand and apply various data types in Python to store and manipulate data effectively.
  • Perform arithmetic, comparison, and logical operations to process data and drive program logic.
  • Use branching statements (if, elif, else) to create decision-making pathways in code.
  • Implement loops (for, while) to iterate over data and execute code blocks multiple times.
  • Conduct file and console I/O operations to read from and write to files, as well as interact with users.
  • Structure code for readability and maintainability using proper documentation techniques such as comments and docstrings.
  • Identify, troubleshoot, and correct syntax errors and logical bugs within Python code.
  • Handle exceptions to create robust programs that can gracefully manage unexpected situations during execution.
  • Utilize built-in Python modules to perform both basic and complex tasks, enhancing code efficiency and functionality.
  • Gain practical experience through labs that reinforce each concept and build confidence in writing and analyzing Python code.