Learning Options
- 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.
Average completion time
2 Monthwith unlimited support
100% onlineStart anytime
Study At Your Own PaceCourse 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
Software Developers
Data Analysts
Engineers
IT Professionals
Web Developers
Business Analysts
Automation Specialists
Project Managers
The Python Programming Course is designed for professionals looking to build or enhance their programming skills for a variety of technical roles. Ideal for:
Course content
What is Python?
Single Assigned Variables
Multiple Assigned Variables
User-Defined Variables
Integers, Float, and Complex
String
Tuple
List
Dictionary
Set
Arithmetic Operators
Assignment Operators
Relational Operators
Logical Operators
If Statement
If-Else Statement
If-Elif Statement
Nested If Statement
For Loop
While Loop
Introduction to Functions
User Defined Functions
In-Built Functions
Lambda Functions
What is OOPS?
Classes
Objects
What is a Global Variable?
What is a Local Variable?
Declaration of Global and Local Data
What is a Constructor?
Types of Constructors
What is Inheritance?
Single Inheritance
Multiple Inheritance
Multi-Level Inheritance
Hierarchical Inheritance
Hybrid Inheritance
What is Polymorphism?
Method Overloading
Method Overriding
What is File Handling?
Open Operation
Write Operation
Append Operation
What is Exception Handling?
Components of Exception Handling
What is a Module?
Module Creation
Module Importing
What is a Package?
Creation of Package
Importing Modules from Packages
What is Web Scrapping?
Requests Module
BeautifulSoup Library
What is NumPy?
Installation of NumPy
Operations in NumPy
Python GUI Application with Tkinter
Widgets
Controlling Layout with Geometry Managers
Newspaper Module
Installation
Implementation
What is a Ping-Pong Game?
Working with Turtle Module
Creating Main Screen, Left, and Right Paddles
Module 1: Introduction to Python
Module 2: Variables
Module 3: Data Types
Module 4: Operators
Module 5: Conditional Statement
Module 6: Looping Statement
Module 7: Functions
Module 8: Python OOPS
Module 9: Global and Local Variables
Module 10: Constructors
Module 11: Inheritance
Module 12: Polymorphism
Module 13: File Handling
Module 14: Exception Handling
Module 15: Modules
Module 16: Packages
Module 17: Web Scrapping
Module 18: NumPy
Module 19: Python GUI Tkinter
Module 20: Python Newspaper
Module 21: Ping-Pong Game
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,
Arvy Pasanting
As a qualified accountant, studying with MPES has been very rewarding experience. Its team of passionate and dedicated mentors gave me the confidence and knowledge I needed to not just at excel in my current role as an auditor, but also inspired me to expand my horizons. I am very grateful of the support I was given where the skills I gained extended beyond just passing exams and learning about accounting principles - it allowed me to take on roles that benefit the wider community.
Arvy PasantingDavid Ford
I was recommended MPES after searching for a way to pursue a career in the accounting profession, I have studied with them throughout my journey utilising both their “in class” and online learning opportunities that fit around the needs of my employer, I have found them to be consummate professionals delivering first class accounting courses with support always available.
David FordAaron Allcote
As a finance officer, MPES has been a huge help in understanding the process of recording and processing transactions from all different perspectives. The courses are very easy to follow, and the training they provide can be applied to real-life scenarios. The courses have been a huge help for me, and I would highly recommend them.
Aaron AllcoteBob Beaumont
I completed all of my ACA studies with MPES and I think you would struggle to find a better training provider anywhere in the British Isles. MPES' tutors are excellent both at delivering training and giving individualised feedback and coaching. the supporting materials and the out of class support are also great.
Bob BeaumontGeorge Evans
The Financial Risk Management Course at MPES was invaluable in deepening my understanding of risk assessment and mitigation strategies. The hands-on learning approach allowed me to apply new concepts directly to my work. I highly recommend it for professionals in finance.
George EvansJames Robinson
As a financial consultant, I am always seeking ways to enhance my expertise. The Investment Analysis Course at MPES exceeded my expectations, offering practical skills and knowledge that I can apply immediately in my consulting work. It's an outstanding choice for professionals in finance.
James RobinsonLaura Bennett
The Corporate Finance Course I attended at MPES was transformative. The depth of knowledge shared by the instructors and the relevance of the topics covered have directly impacted on our financial strategy. I strongly endorse this program for anyone in a leadership position in finance.
Laura BennettEmma Johnson
The Financial Modeling and Valuation Course at MPES was incredibly insightful. The practical applications and real-world examples helped solidify my understanding of complex concepts. I highly recommend this course to anyone looking to enhance their financial acumen.
Emma JohnsonNeed 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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