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Python Programming: Beginner To Expert
2270 Students (225 Reviews)
According to a statistic, Python is one of the most demanding jobs in the UK, offering a salary of almost £60,000 to programmers skilled in Pythons. Our Python Programming: Beginner to Experts course will help you understand of what Python is all about and in which sectors it’s mostly used.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
According to a statistic, Python is one of the most demanding jobs in the UK, which offers a salary of almost £60,000 to programmers who are skilled in Pythons. This demand opens up many opportunities for freshers and experts in various IT fields. So, if you are from a programming background or wish to start your career in the relevant field, gain adequate skills in Python and shine in your future career with the help of the Python Programming: Beginner to Experts course.
Our immersive Python Programming: Beginner to Experts course will help you gain a thorough understanding of what Python is all about and in which sectors it’s mostly used. Moreover, this course will provide you with knowledge of basic data types. In addition, you will learn about Python operators, user input and error handling and many more. While progressing through your study, you can also get to learn about Python scripting and libraries. It will also introduce you to the primary and advanced levels of OPP.
However, after completing this comprehensive course, you will immediately receive a CPD- Certificate of achievement, which will not only help you boost your confidence but also put some weight on your resume. So, enrol and begin your journey now!
Learning Outcomes
- Learn what Python programming is and its basic data types
- Know the fundamentals of Python operators
- Deepen your understanding of control flow part - 1 and control flow part - 2
- Enhance your idea of user input and error handling
- Get acquainted with Python scripting and libraries
- Get an introduction to OPP and learn the advanced OPP
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Endorsed Certificate of Achievement from the Quality Licence Scheme
Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £99. An extra £10 postage charge will be required for students leaving overseas.
CPD Accredited Certificate
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Method of Assessment
After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly.
Entry Requirements
No previous programming experience is required for this course. Basic computer skills, logical thinking, and an interest in software development are recommended. Learners will build a strong foundation in Python programming through structured and practical learning.
Who is this course for?
This course is ideal for:
- Aspiring Python programmers
- Students interested in software development
- IT professionals learning programming skills
- Data and automation enthusiasts
- Beginners interested in coding careers
Career path
We designed this course with the aim of increasing your expertise in Python so that you can pursue your career in the relevant field. Such as –
- Web Developer
- Software Engineer
- Data Scientist
- Machine Learning Engineer
- Data Analyst
Course Curriculum
| Module 01: Getting Started with Python | |||
| Why Learn to Code? | 00:05:00 | ||
| Why Python? | 00:04:00 | ||
| Installing Python on Windows | 00:13:00 | ||
| Installing Python on MAC | 00:06:00 | ||
| Installing Python on Linux | 00:15:00 | ||
| Get your Integrated Development Environment | 00:03:00 | ||
| Run Your First Code, “Hello World” | 00:11:00 | ||
| Module 02: Data Types and Operators | |||
| Arithmetic Operators | 00:14:00 | ||
| Variables and Assignment Operators | 00:12:00 | ||
| Order Of Evaluation | 00:09:00 | ||
| Correct Variable Names | 00:08:00 | ||
| Integers and Floats | 00:11:00 | ||
| Booleans, Comparison Operators, and Logical Operators | 00:20:00 | ||
| Strings | 00:02:00 | ||
| Type and Type Conversion | 00:10:00 | ||
| Taking inputs | 00:05:00 | ||
| Exercise 1 | 00:09:00 | ||
| Module 03: Data Structures | |||
| Lists and Membership Operators | 00:16:00 | ||
| Necessity of Lists | 00:14:00 | ||
| List Methods | 00:19:00 | ||
| Tuples | 00:14:00 | ||
| Sets | 00:14:00 | ||
| Dictionaries | 00:06:00 | ||
| Exercise 2 | 00:12:00 | ||
| Module 04: Control Flow | |||
| Conditional Statements | 00:10:00 | ||
| For Loops | 00:13:00 | ||
| While Loops | 00:07:00 | ||
| For Loop vs While Loops | 00:07:00 | ||
| Try and Except Structure | 00:07:00 | ||
| Break, Continue | 00:07:00 | ||
| Exercise 3 | 00:07:00 | ||
| Module 05: Functions | |||
| Defining Function | 00:05:00 | ||
| Returning values | 00:06:00 | ||
| Exercise 4 | 00:09:00 | ||
| Module 06: Python Arrays, Iterators and Generators | |||
| Access elements of an array | 00:05:00 | ||
| Array, Length Of Array, Accessing Elements Of Array | 00:10:00 | ||
| Adding, Removing Elements In Array, Array Methods | 00:12:00 | ||
| Iterators and Generators | 00:14:00 | ||
| Generator Expression | 00:07:00 | ||
| Exercise 5 | 00:07:00 | ||
| Module 07: Python Basic Recap | |||
| Variables and data types | 00:11:00 | ||
| Data structures | 00:11:00 | ||
| Set methods(add, copy, union, intersection, difference etc) | 00:08:00 | ||
| Dict methods(keys, values, items, get, setDefault etc) | 00:05:00 | ||
| Complex structures(list of lists, list of dicts, dict of lists etc) | 00:05:00 | ||
| Conditional Statements | 00:10:00 | ||
| Loops in python | 00:08:00 | ||
| Functions in python | 00:05:00 | ||
| Exercise (m1) | 00:06:00 | ||
| Module 08: Deep Dive Into Loops | |||
| Iterating through list,dictionaries, set | 00:11:00 | ||
| Zip and enumerate | 00:13:00 | ||
| List comprehension | 00:09:00 | ||
| Nested loops | 00:07:00 | ||
| Big O notation and space-time trade-off | 00:16:00 | ||
| Exercise (m2) | 00:08:00 | ||
| Module 09: Deep Dive Into Functions | |||
| Scope in python (local scope, global scope) | 00:10:00 | ||
| Passing multiple arguments(*args, **kwargs) | 00:09:00 | ||
| Returning multiple values | 00:08:00 | ||
| Lambda functions | 00:05:00 | ||
| Map, apply, filter,reduce | 00:08:00 | ||
| Callbacks | 00:05:00 | ||
| Nested functions | 00:05:00 | ||
| Recursion | 00:07:00 | ||
| Exercise (m3) | 00:10:00 | ||
| Module 10: OOP Concepts | |||
| What is Class | 00:12:00 | ||
| Creating an empty Class in Python | 00:06:00 | ||
| Creating an object | 00:08:00 | ||
| Creating a class and object with class and instance attributes | 00:08:00 | ||
| Attributes and methods | 00:08:00 | ||
| Creating modules and importing them | 00:08:00 | ||
| Exercise (m4) | 00:17:00 | ||
| Module 11: Built-in Modules | |||
| Math module(pi, sqrt, pow, exp, log, Trigonometric functions) | 00:08:00 | ||
| Re module(findall, search, split, sub) | 00:10:00 | ||
| OS module(mkdir, chdir, getcwd,rmdir,listdir) | 00:10:00 | ||
| Random(choice, shuffle, random, randint,randrange) | 00:06:00 | ||
| Time module(time, sleep, localtime, ctime,asctime) | 00:06:00 | ||
| Collections module(namedtuple,OrderedDict,deque) | 00:09:00 | ||
| Itertools module(chain.from_iterable, combinations,combinations_with_replacement,permutations) | 00:06:00 | ||
| Exercise (m5) | 00:18:00 | ||
| Module 12: File and Exception Handling | |||
| Reading from a file | 00:11:00 | ||
| Writing to a file | 00:07:00 | ||
| Common exceptions | 00:06:00 | ||
| Zero division Error | 00:06:00 | ||
| File Not Found Error | 00:04:00 | ||
| Type Error | 00:04:00 | ||
| Indexing Error | 00:04:00 | ||
| Exercise (m6) | 00:05:00 | ||
| Module 13: Using Python Packages (Numpy) | |||
| Packages vs modules | 00:10:00 | ||
| Installing a python package | 00:06:00 | ||
| Using the objects of the package | 00:14:00 | ||
| Intro to numpy | 00:07:00 | ||
| Creating arrays using numpy | 00:08:00 | ||
| Exercise (m7) | 00:07:00 | ||
| Capstone Project | |||
| Creating a tic-tac-toe app in notebook (topics: conditions, loops, OOP) | 01:00:00 | ||
| Order Your Certificate & Transcripts | |||
| Order your Certificates & Transcripts | 00:00:00 | ||
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Frequently asked questions
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There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.
You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.
For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.
Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.
We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.
Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.
If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.