Overview
Join our comprehensive course and unlock boundless opportunities for personal and professional growth with our meticulously crafted comprehensive course. If you yearn for precise knowledge that not only enriches your personal and professional life but also empowers you to excel and stand out, then look no further.Â
Our in-depth course provides a learning experience meticulously designed to empower individuals from diverse backgrounds. It also provides exclusive and interactive learning materials and is developed with the utmost dedication to help you bring out the best version of yourself. During the process of learning from our course, you will be able to recognise and monitor your growth as well as reflect on your experiences.
Whether you’re a professional seeking to elevate your career prospects, a curious student hungry for knowledge expansion, or an aspiring enthusiast pursuing a newfound passion, this course is tailor-made to cater to your unique needs.
So, don’t delay any further and enrol now!
Learning Outcome
By the end of this course, you will be able to:
- Develop a comprehensive understanding of course-related concepts and principles.
- Apply critical thinking and problem-solving skills to overcome any possible challenges.
- Foster a commitment to continuous learning and personal growth.
- Improve communication skills for effective expression and discussion of course-related ideas.
- Engage with a variety of information and enhance information literacy skills.
- Collaborate and work efficiently in team-based projects and discussions, where applicable.
- Utilise technology and digital tools effectively to support course-related tasks and objectives.
- Embrace ethical conduct and responsibility in professional settings.
- Develop a growth mindset and adaptability, embracing lifelong learning and skill enhancement.
Who Is This Course For?
If you contemplate a suitable niche or want to experience the primary to advanced level knowledge of this industry, then this course is for you. Regardless of your background, you can participate and enhance your CV.
Certificates
You will earn a CPD QS certificate upon completing this course. It will not only serve as a concrete validation of the knowledge and skills acquired during the course but it will also enhance your professional credibility and open doors to new opportunities and career advancement.
Certificate of Completion
Digital Certificate
Price: £4.99
The digital Certificate of Completion will be provided after learners complete the course.
Hardcopy Certificate of Completion
Hard Copy Certificate
Price: £9.99
The hardcopy certificate for all individual titles can be received by paying £9.99 each, for students living inside the UK.
International Students
For international orders, the total fee is £14.99 (£9.99 Certification Fee + £5 postal charge) for each individual titles.
Requirements
This course has no set requirements for learning. All you need is a smart device, a reliable internet connection, and a basic command of English and you’re good to go!
Career Path
This career-friendly course will deepen your insights into the UK job market and help you secure your dream job with time. You will be able to experience noticeable development in your current career.Â
It’s time to unlock limitless opportunities.
Course Curriculum
| Module 01: Introduction to Python Programming from A-Z | |||
| Intro To Python Section Overview | 00:05:00 | ||
| What is Python Programming | 00:09:00 | ||
| Who is This Course For | 00:05:00 | ||
| Python Programming Marketplace | 00:00:00 | ||
| Python Job Opportunities | 00:05:00 | ||
| How To Land a Python Job Without a Degree | 00:08:00 | ||
| Python Programmer Job Roles | 00:09:00 | ||
| Python from A-Z Course Structure | 00:04:00 | ||
| Module 02: Getting Familiar with Python | |||
| Getting Familiar with Python Section Overview | 00:06:00 | ||
| Installing Python on Windows | 00:10:00 | ||
| Anaconda and Jupyter Notebooks Part 1 | 00:08:00 | ||
| Anaconda and Jupyter Notebooks Part 2 | 00:16:00 | ||
| Comments | 00:05:00 | ||
| Python Syntax | 00:02:00 | ||
| Line Structure | 00:03:00 | ||
| Line Structure Exercise | 00:07:00 | ||
| Joining Lines | 00:00:00 | ||
| Multiple Statements on a Single Line | 00:05:00 | ||
| Indentation | 00:08:00 | ||
| Module 03: Basic Data Types | |||
| Basic Data Types Section Overview | 00:08:00 | ||
| String Overview | 00:10:00 | ||
| String Manipulation | 00:07:00 | ||
| String Indexing | 00:04:00 | ||
| String Slicing | 00:08:00 | ||
| Printing | 00:10:00 | ||
| Python Variables | 00:08:00 | ||
| Integers and Floats | 00:08:00 | ||
| Booleans | 00:05:00 | ||
| Mini Project 1 : Letter Counter | 00:20:00 | ||
| Module 04: Python Operators | |||
| Python Operators Section Overview | 00:04:00 | ||
| Comparison Operators | 00:09:00 | ||
| Arithmetic Operators | 00:08:00 | ||
| Assignment Operators | 00:04:00 | ||
| Logical Operators | 00:13:00 | ||
| Identity Operators | 00:05:00 | ||
| Membership Operators | 00:02:00 | ||
| Bitwise Operators | 00:08:00 | ||
| Module 05: Advanced Data Types | |||
| Python Advanced Data Types Section Overview | 00:11:00 | ||
| Sets | 00:06:00 | ||
| List Overview | 00:05:00 | ||
| List Slicing and Indexing | 00:04:00 | ||
| Tuples | 00:02:00 | ||
| Dictionaries | 00:11:00 | ||
| When to use each one? | 00:05:00 | ||
| Compound Data Types | 00:03:00 | ||
| Module 06: Control Flow Part 1 | |||
| Control Flow Part 1 Section Overview | 00:15:00 | ||
| Intro to Control Flow | 00:01:00 | ||
| Basic Conditional Statements | 00:14:00 | ||
| More Conditional Statements | 00:00:00 | ||
| For Loops | 00:10:00 | ||
| While Loops | 00:12:00 | ||
| Module 07: Control Flow Part 2 | |||
| Control Flow Part 2 Section Overview | 00:02:00 | ||
| Break Statements | 00:08:00 | ||
| Continue Statements | 00:05:00 | ||
| Zip Function | 00:07:00 | ||
| Enumerate Function | 00:04:00 | ||
| List Comprehension | 00:04:00 | ||
| Module 08: Python Functions | |||
| Python Functions Section Overview | 00:03:00 | ||
| Intro to Functions | 00:02:00 | ||
| Python help Function | 00:03:00 | ||
| Defining Functions | 00:09:00 | ||
| Variable Scope | 00:08:00 | ||
| Doc Strings | 00:04:00 | ||
| Module 09: User Input and Error Handling | |||
| User Input and Error Handling Section Overview | 00:02:00 | ||
| Introduction to error handling | 00:03:00 | ||
| User Input | 00:04:00 | ||
| Syntax Errors | 00:04:00 | ||
| Exceptions | 00:11:00 | ||
| Handling Exceptions Part 1 | 00:08:00 | ||
| Handling Exceptions Part 2 | 00:08:00 | ||
| Module 10: Python Advanced Functions | |||
| Python Advanced Functions Section Overview | 00:05:00 | ||
| Lambda Functions | 00:05:00 | ||
| Functions args and kwargs | 00:10:00 | ||
| Iterators | 00:08:00 | ||
| Generators and Yield | 00:12:00 | ||
| Map Function | 00:14:00 | ||
| Filter Function | 00:00:00 | ||
| Module 11: Python Scripting and Libraries | |||
| Python Scripting and Libraries Section Overview | 00:04:00 | ||
| What is a script | 00:01:00 | ||
| What is an IDE | 00:17:00 | ||
| What is a text editor? | 00:12:00 | ||
| From Jupyter Notebook to VScode Part 1 | 00:15:00 | ||
| From Jupyter Notebook to VScode Part 2 | 00:05:00 | ||
| Importing Scripts | 00:03:00 | ||
| Standard Libraries | 00:04:00 | ||
| Third Party Libraries | 00:06:00 | ||
| Module 12: NumPy | |||
| NumPy Section Overview | 00:04:00 | ||
| Intro to NumPy | 00:04:00 | ||
| Why use NumPy? | 00:04:00 | ||
| NumPy Arrays | 00:10:00 | ||
| Reshaping, Accessing, and Modifying | 00:07:00 | ||
| Slicing and Copying | 00:06:00 | ||
| Inserting, Appending, and Deleting | 00:10:00 | ||
| Array Logical Indexing | 00:04:00 | ||
| Broadcasting | 00:08:00 | ||
| Module 13: Pandas | |||
| Intro to Pandas | 00:17:00 | ||
| Pandas Series | 00:17:00 | ||
| Pandas Series Manipulation | 00:17:00 | ||
| Pandas DataFrame | 00:17:00 | ||
| Pandas DataFrame Manipulation | 00:13:00 | ||
| Dealing with Missing Values | 00:10:00 | ||
| Module 14: Introduction to OOP | |||
| Functional vs OOP | 00:06:00 | ||
| OOP Key Definitions | 00:04:00 | ||
| Create your First Class | 00:12:00 | ||
| How to Create and Use Objects | 00:06:00 | ||
| How to Modify Attributes | 00:12:00 | ||
| Module 15: Advanced OOP | |||
| Python Decorators | 00:27:00 | ||
| Property Decorator | 00:09:00 | ||
| Class Method Decorator | 00:07:00 | ||
| Static Methods | 00:10:00 | ||
| Inheritance from A to Z | 00:21:00 | ||
| Module 16: Starting a Career in Python | |||
| Python Career Section Overview | 00:06:00 | ||
| Getting Started with Freelancing | 00:09:00 | ||
| Building A Brand | 00:12:00 | ||
| Personal Branding | 00:13:00 | ||
| Importance of Having Website/Blog | 00:04:00 | ||
| Do’s and Don’ts of Networking | 00:06:00 | ||
| Top Freelance Websites | 00:08:00 | ||
| Creating A Python Developer Resume | 00:06:00 | ||
| Assignment | |||
| Assignment – Python Programming: Beginner To Expert | 00:00:00 | ||
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Access01 Year
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LevelLevel 3
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Students2
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Duration15 hours, 1 minute