All Courses for £49Python is a high-level, versatile programming language widely used for automation, data science, software development, artificial intelligence, and web applications. In this Python Programming course, learners are introduced to both fundamental and advanced concepts, enabling them to build structured, efficient programmes with confidence.
Overview Of Python Programming course
The course Python Programming: Beginner To Expert takes students on a thorough educational journey through one of the most popular programming languages worldwide. In fact, Python is today one of the top three most widely used languages in the world, supporting fields like automation, software development, data science, and artificial intelligence. According to GitHub, Python ranks among the top 3 most-used programming languages globally, with over 10 million developers actively using it. Furthermore, the UK tech job market lists Python as one of the highest-paying skills, with salaries ranging from £40,000 to £100,000+ depending on experience. Consequently, the goal of this introductory Python programming course is to turn total beginners into skilled programmers while also equipping more experienced students with the skills necessary to learn subjects at the expert level.
Additionally, students will gain from concise modules that walk them through every step, making coding approachable and intelligible. Students will also acquire the self-assurance necessary to use their abilities in both professional and academic contexts. The CPD recognition of the Python programming course adds substantial value, improves a learner’s CV, and gives them an advantage in the job market. Last but not least, 24-hour student support guarantees that assistance is always available, ensuring that students never feel isolated during their coding adventure.
Description Of Python Programming course
Python has emerged as the foundation for machine learning, digital transformation, and contemporary application development, making this Python coding course essential. Employers in a variety of industries are therefore actively looking for experts who are capable of Python programming. In addition to gaining a thorough understanding of Python fundamentals, students enrolled in this introductory Python programming course will proceed to more complex aspects including object-oriented programming, libraries, and frameworks.
Learners will also acquire knowledge of scripting, error management, and data analysis tools like Pandas and NumPy, all of which are critical for practical applications. Additionally, this Python programming course guarantees that students know how Python facilitates professional paths in data analytics, web development, and software engineering. Companies highly value the advanced skills and solid foundation that students gain by completing this path.
Learning Outcomes of Python Programming course:
After completing Python Programming: Beginner To Expert Course, you will:
- Firstly, understand the fundamentals of Python from introduction to expert level.
- Moreover, apply Python syntax to create structured and efficient programmes.
- Additionally, work confidently with basic and advanced data types.
- Furthermore, use control flow statements to solve complex problems.
- Equally, develop and implement Python functions effectively.
- Consequently, handle user inputs and manage errors seamlessly.
- In addition, utilise advanced functions, scripting, and libraries.
- Besides, employ NumPy and Pandas for data analysis.
- Subsequently, master object-oriented programming concepts.
- Finally, explore career opportunities supported by advanced coding skills.
Why Choose Us?
- Firstly, Python Programming training course is accredited by the CPD Quality Standards.
- Additionally, you get lifetime access to the whole collection of the learning materials.
- Furthermore, there is an online test with immediate results.
- Moreover, enroling in the python programming course for beginners course has no additional cost.
- Hence, you can study and complete the course at your own pace.
- Finally, you can study for the course using any internet-connected device, such as a computer, tablet, or mobile device.
Get UK and Internationally-recognised CPD Certificate & Transcripts
QLS Endorsed Certificate of Achievement
Upon successful completion of the course, you will be eligible to order a QLS Endorsed HardCopy Certificate titled ‘Diploma in Python Basic Programming at QLS Level 4’, providing tangible proof of your newly acquired skills. These certificates are not just tokens; they can be a valuable addition to your CV, enhancing your employability and opening doors to a myriad of career opportunities in this field.
- £89 for addresses within the UK. Please note that delivery within the UK is free of charge.
Please Note: NextGen Learning is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.
Endorsement
The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards.
Who Is This Course For?
The Python Programming: Beginner To Expert Course is ideal for:
- Firstly those seeking a python programming course for beginners with no prior experience.
- Moreover learners who want to enhance their academic qualifications with CPD recognition.
- Additionally individuals looking for Python Programming training to upgrade career skills.
- Furthermore people aiming to enter the technology sector with coding expertise.
- Equally those developing applications or tools with the help of a Python coding course.
Requirements
The Python coding course requires no prior degree or experience. Therefore, all you require is English proficiency, numeracy literacy, and a gadget with a stable internet connection. Consequently, you can learn and train for a prosperous career in the thriving and fast-growing industry, without any fuss.
Career Path Of Python Programming course
By completing the Python Programming: Beginner To Expert Course, you can unlock a variety of career opportunities, including:
- Python Developer
- Data Analyst
- Software Engineer
- Machine Learning Engineer
- Web Developer
- Automation Specialist
- AI Research Assistant
- Business Intelligence Analyst
FAQs About Python Programming Course
The time required varies by learner. However, with our python programming course for beginners, students can progress from basics to expert level at their own pace. Since the course offers lifetime access, you can revisit modules anytime, ensuring steady growth whether you want to learn quickly or gradually.
A variable in Python is a name used to store data values. For example, writing x = 10 means the variable x stores the number 10. Variables allow programmers to reuse and manipulate data easily throughout their code.
To execute a Python program, first save your code in a file with the extension .py (for example, program.py). Then, open a terminal or command prompt, navigate to the folder where the file is saved, and type:
This will run the Python program and display the output.
A Python program ends automatically once all instructions are executed. However, if you want to stop a program before it finishes, you can:
Use the
exit()orquit()function in your code.Press Ctrl + C in the terminal/command prompt while the program is running.
Order Your Certificate
To order your Certificate, we kindly invite you to visit the following link
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 | 00:06:00 | ||
| 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 | 00:05:00 | ||
| 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 | 00:05:00 | ||
| 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 | 00:08:00 | ||
| 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 | ||
| Order Your Certificate | |||
| Order Your Certificate | 00:00:00 | ||
Related Courses
