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  • Online Video-Based Learning
  • Flexible Schedule
  • Expert Trainers with Industry Experience
  • High Pass Rates
  • 24/7 Personalised Support
  • Interactive Learning Materials
  • Live Online Classes
  • Expert Trainers with Industry Experience
  • Live Assessment and Feedback
  • Interactive Learning Materials
  • Networking Opportunities
  • High Pass Rates

Overview

The Python Course is designed for professionals seeking to enhance their programming skills and gain proficiency in Python, one of the most versatile and widely used programming languages. Whether you are a beginner or looking to refine your skills, this course provides learners with the tools and techniques to develop efficient Python applications, automate tasks, and analyze data. Python’s simplicity and power make it an ideal choice for tackling a variety of business and technical challenges, from web development to data science.

This course covers a broad range of Python concepts, including basic syntax, data structures, functions, and object-oriented programming. Delegates will learn how to write clean, readable code, debug errors, and implement Python in practical, real-world scenarios. By mastering Python, professionals will be empowered to develop software solutions, perform data analysis, and automate repetitive tasks, thereby boosting productivity and driving innovation within their organisations.

This 1-Day course by MPES ensures an interactive learning experience, with hands-on exercises, coding challenges, and real-world case studies. It is ideal for individuals looking to advance their technical skills and expand their career opportunities by mastering Python.
 

Course Objectives
 

  • Develop a solid understanding of Python programming principles and best practices

  • Gain proficiency in Python syntax, data types, and control flow

  • Learn how to work with data structures such as lists, dictionaries, and sets

  • Master the use of functions and object-oriented programming concepts in Python

  • Understand error handling and debugging techniques to write robust Python code

  • Learn strategies for automating tasks and building Python scripts for business applications

  • Gain experience with Python libraries for data analysis, web development, and machine learning

Upon completion, delegates will be equipped with the confidence and skills to write efficient Python code, solve complex problems, and leverage Python’s capabilities to automate processes and enhance business performance.

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Average completion time

2 Month
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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

    •  Professional Background: No prior programming experience is required; however, a basic understanding of logic and problem-solving skills will enhance the learning experience.
       

    •  Language Proficiency: Learners must have a strong command of English, as all course content, discussions, and assessments are delivered in English.
       

    •  Interest in Programming: The course is ideal for individuals looking to advance their programming skills for career development, data analysis, and software development.

Learning Outcomes

    • Master Python Syntax and Structure: Learn the core syntax of Python, including variables, loops, and conditionals, to write clean and efficient code.
       

    •  Develop Data Structures and Algorithms: Gain the ability to implement key data structures like lists, dictionaries, and sets, while applying algorithms for problem-solving in software development.
       

    •  Create Python Applications: Acquire hands-on experience building Python applications, including web applications, scripts, and automation tools, enhancing your development capabilities.
       

    •  Understand Object-Oriented Programming (OOP): Learn the principles of OOP, such as classes, inheritance, and polymorphism, to design scalable and maintainable Python programs.
       

    •  Analyse Data Using Python Libraries: Gain proficiency in using Python libraries such as Pandas, NumPy, and Matplotlib to analyse and visualise data effectively.
       

    •  Integrate Python with Other Technologies: Learn how to work with APIs, databases, and frameworks like Django or Flask to extend Python’s capabilities and integrate with other systems.

Target Audience

    The Python Programming Course is designed for professionals looking to build or enhance their programming skills for a variety of technical roles. Ideal for:

    • Software Developers

    • Data Analysts

    • Engineers

    • IT Professionals

    • Web Developers

    • Business Analysts

    • Automation Specialists

    • Project Managers

Course content

    Module 1: Introduction to Python

    • What is Python?
       

    Module 2: Variables

    • Single Assigned Variables

    • Multiple Assigned Variables

    • User-Defined Variables
       

    Module 3: Data Types

    • Integers, Float, and Complex

    • String

    • Tuple

    • List

    • Dictionary

    • Set
       

    Module 4: Operators

    • Arithmetic Operators

    • Assignment Operators

    • Relational Operators

    • Logical Operators
       

    Module 5: Conditional Statement

    • If Statement

    • If-Else Statement

    • If-Elif Statement

    • Nested If Statement
       

    Module 6: Looping Statement

    • For Loop

    • While Loop
       

    Module 7: Functions

    • Introduction to Functions

    • User Defined Functions

    • In-Built Functions

    • Lambda Functions
       

    Module 8: Python OOPS

    • What is OOPS?

    • Classes

    • Objects
       

    Module 9: Global and Local Variables

    • What is a Global Variable?

    • What is a Local Variable?

    • Declaration of Global and Local Data
       

    Module 10: Constructors

    • What is a Constructor?

    • Types of Constructors
       

    Module 11: Inheritance

    • What is Inheritance?

    • Single Inheritance

    • Multiple Inheritance

    • Multi-Level Inheritance

    • Hierarchical Inheritance

    • Hybrid Inheritance
       

    Module 12: Polymorphism

    • What is Polymorphism?

    • Method Overloading

    • Method Overriding
       

    Module 13: File Handling

    • What is File Handling?

    • Open Operation

    • Write Operation

    • Append Operation
       

    Module 14: Exception Handling

    • What is Exception Handling?

    • Components of Exception Handling
       

    Module 15: Modules

    • What is a Module?

    • Module Creation

    • Module Importing
       

    Module 16: Packages

    • What is a Package?

    • Creation of Package

    • Importing Modules from Packages
       

    Module 17: Web Scrapping

    • What is Web Scrapping?

    • Requests Module

    • BeautifulSoup Library
       

    Module 18: NumPy

    • What is NumPy?

    • Installation of NumPy

    • Operations in NumPy
       

    Module 19: Python GUI Tkinter

    • Python GUI Application with Tkinter

    • Widgets

    • Controlling Layout with Geometry Managers
       

    Module 20: Python Newspaper

    • Newspaper Module

    • Installation

    • Implementation
       

    Module 21: Ping-Pong Game

    • What is a Ping-Pong Game?

    • Working with Turtle Module

    • Creating Main Screen, Left, and Right Paddles

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

  • MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
  • Get expert guidance from tutors available online to assist with your studies.
  • Check your eligibility for exemptions with the relevant professional body before starting.
  • Our supportive team is here to offer study advice and support throughout your course.
  • Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

MPES Learning offers globally recognised courses in accounting,

Need help with your ACCA course?

Our course advisors are here to help guide you and ensure that you choose the right course for you and your career journey.

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the primary focus of the Python Course?

This course focuses on equipping professionals with the essential skills needed to program efficiently using Python. It covers the foundations of Python programming, data analysis, and automation, enabling learners to apply Python in various business applications, problem-solving, and software development projects.

Q. What will I learn during the training?

Delegates will gain a comprehensive understanding of Python programming concepts, including variables, data structures, control flow, functions, and object-oriented programming. The training also covers Python libraries for data analysis, automation, and web development, as well as best practices for writing clean, efficient code.

Q. Who is this course intended for?

This course is designed for professionals at all levels who are interested in learning Python, including software developers, data analysts, engineers, and anyone looking to expand their programming skills to enhance business processes and solve complex challenges with Python.

Q. Will this training provide experience with Python tools and libraries?

Yes, the course includes practical exercises on projects using popular Python libraries such as Pandas, NumPy, and Matplotlib, enabling delegates to apply their learning to real-world problems. Case studies and examples will help reinforce the key concepts covered during the training.

Q. How does this course benefit my career in Python programming?

This training empowers professionals to confidently use Python for a wide range of business applications, including data analysis, automation, and software development. It enhances problem-solving skills, positions learners as valuable technical contributors, and opens up career growth opportunities in fields such as data science, web development, and engineering.

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.

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