Booking options
£10.99
£10.99
On-Demand course
9 hours 16 minutes
All levels
Dive into the dynamic world of computer science with our comprehensive 'Computer Science with Python Course'. Python, a versatile and widely used programming language, serves as the foundation for this course, offering learners a gateway into the intricate realm of computing. From installing Python and understanding its documentation to mastering advanced concepts like closures, classes, and data hiding, this course is meticulously designed to cater to beginners and those looking to deepen their knowledge. With a curriculum that's rich and varied, you'll be equipped with the skills to tackle real-world challenges, making you a sought-after asset in the ever-evolving tech industry. The course curriculum is structured to ensure a smooth learning curve. Starting with foundational topics such as command line usage, variables, and simple Python syntax, learners will gradually progress to more advanced subjects.
In the digital age, proficiency in a programming language like Python is invaluable. Whether you're aiming to kickstart a career in tech, enhance your current skill set, or simply satiate your curiosity, this course promises a transformative learning experience. With a blend of theoretical knowledge and its practical application, you'll be poised to make significant strides in the world of computer science.
Learning Outcomes of Computer Science with Python Course:
Understand Python's foundational concepts, including its installation, documentation, and basic syntax.
Gain proficiency in working with various Python data types such as strings, lists, dictionaries, and tuples.
Develop the ability to create and manipulate functions, including lambda functions, generators, and closures.
Acquire skills in object-oriented programming with a focus on classes, inheritance, and data hiding.
Implement advanced programming constructs and handle exceptions efficiently.
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Digital Certificate, Transcript, student ID all included in the price
Absolutely no hidden fees
Directly receive CPD accredited qualifications after course completion
Receive one to one assistance on every weekday from professionals
Immediately receive the PDF certificate after passing
Receive the original copies of your certificate and transcript on the next working day
Easily learn the skills and knowledge from the comfort of your home
After studying the course materials of the Computer Science with Python Course you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.
Beginners eager to delve into the realm of computer science and programming.
Individuals looking to add Python programming to their skill set.
Tech enthusiasts keen on understanding advanced Python concepts.
Students pursuing computer science and needing a comprehensive Python guide.
Professionals in tech roles aiming to enhance their coding capabilities.
This Computer Science with Python Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones.
Python Developer: £45,000 - £70,000 Annually
Data Scientist: £50,000 - £80,000 Annually
Software Engineer: £40,000 - £75,000 Annually
Backend Developer: £45,000 - £72,000 Annually
Systems Analyst: £35,000 - £60,000 Annually
DevOps Engineer: £50,000 - £85,000 Annually
Module 01 | |||
A Installing Python | FREE | 00:17:00 | |
Documentation | 00:30:00 | ||
Command Line | 00:17:00 | ||
Variables | 00:29:00 | ||
Simple Python Syntax | 00:15:00 | ||
Keywords | 00:18:00 | ||
Import Module | 00:17:00 | ||
Module 02 | |||
Additional Topics | 00:23:00 | ||
If Elif Else | 00:31:00 | ||
Iterable | 00:10:00 | ||
For | 00:11:00 | ||
Loops | 00:20:00 | ||
Execute | 00:05:00 | ||
Exceptions | 00:18:00 | ||
Module 03 | |||
Data Types | 00:24:00 | ||
Number Types | 00:28:00 | ||
More Number Types | 00:13:00 | ||
Strings | 00:20:00 | ||
More Strings | 00:11:00 | ||
Files | 00:08:00 | ||
Lists | 00:15:00 | ||
Dictionaries | 00:04:00 | ||
Tuples | 00:07:00 | ||
Sets | 00:09:00 | ||
Module 04 | |||
Comprehensions | 00:10:00 | ||
Definitions | 00:02:00 | ||
Functions | 00:06:00 | ||
Default Arguments | 00:06:00 | ||
Doc Strings | 00:06:00 | ||
Variadic Functions | 00:07:00 | ||
Factorial | 00:07:00 | ||
Module 05 | |||
Function Objects | 00:07:00 | ||
Lambda | 00:11:00 | ||
Generators | 00:06:00 | ||
Closures | 00:10:00 | ||
Classes | 00:09:00 | ||
Object Initialization | 00:05:00 | ||
Class Static Members | 00:07:00 | ||
Classic Inheritance | 00:10:00 | ||
Data Hiding | 00:07:00 | ||
Mock Exam | |||
Mock Exam - Python Developer | 00:20:00 | ||
Final Exam | |||
Final Exam - Python Developer | 00:20:00 |
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