Course Overview
You’ll have an arsenal of skills to lock down your desired career after completing this Python Programming: Beginner To Expert course. Moreover, you will have access to all of the materials in this course for free for a whole year and learn a multitude of highly coveted skills to move up the corporate ladder.
With this comprehensive Python Programming: Beginner To Expert course, you’ll have all of your questions answered and all of the necessary expertise under your belt. Apart from setting you up for success, this course offers numerous advantages to make your learning experience more pleasurable and less stressful. So, add this Python Programming: Beginner To Expert course to the basket and take your expertise up a notch!
Why Choose Thames College?
Thames College offers you the benefit of —
- Learn with an engaging voiceover and visual elements to facilitate your learning process.
- Get a year's worth of unlimited access to the course.
- Receive round-the-clock access to expert assistance.
- Participate in quick assessments and get instant feedback on your progress.
- Study on your own schedule from the convenience of your own home.
Who Is This Course For?
Those who want to strengthen their professional skills while training for the desired job should take advantage of the Python Programming: Beginner To Expert training! This course will keep you up-to-date with all the latest developments and coach you accordingly. So invest in this Python Programming: Beginner To Expert course if you want the best training available.
Certificate of Achievement
- Quality Licence Scheme Endorsed Certificate of Achievement
Upon successful completion of the Python Programming: Beginner To Expert bundle, learners will be sent an endorsed certificate (included with the course) right to their doorstep by post! It should be noted that students who live outside the UK must pay a £10 postage fee.
- CPD Accredited Certification
You will be eligible for CPD Accredited Certificates for each of the courses in this Python Programming: Beginner To Expert bundle after completing them successfully. Certification is available —
- In PDF for FREE
- Hard copy for £2.99
Disclaimer
The Python Programming: Beginner To Expert course has been endorsed under the Quality Licence Scheme. This means that One Education has undergone an external quality check to ensure that the organisation and the courses it offers meet defined quality criteria. The completion of this Python Programming: Beginner To Expert course alone does not lead to a regulated qualification but may be used as evidence of knowledge and skills gained. The Learner Unit Summary may be used as evidence towards Recognition of Prior Learning if you wish to progress your studies in this subject. To this end the learning outcomes of the Python Programming: Beginner To Expert course have been benchmarked at Level 7 against level descriptors published by Ofqual, to indicate the depth of study and level of demand/complexity involved in successful completion by the learner.
The Python Programming: Beginner To Expert course itself has been designed by One Education to meet specific learners’ and/or employers’ requirements which cannot be satisfied through current regulated qualifications.
The Quality Licence Scheme endorsement involves robust and rigorous quality audits by external auditors to ensure quality is continually met. A review of courses is carried out as part of the endorsement process.
Requirements
No formal entry requirements! No prerequisites or relevant experience is required!
This course is accessible to anyone with an eagerness to learn. All you require is —
- A smart device with a stable internet connection
- A keen interest in this subject
- And being over the age of 16.
Career Path
Utilise this all-inclusive course to acquire the skills and expertise you’ll need to thrive in the workplace.
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 | ||
| Resources | |||
| Resources – Python Programming: Beginner To Expert | 00:00:00 | ||
| Assignment | |||
| Assignment – Python Programming: Beginner To Expert | 3 weeks, 4 days | ||
Certificate of Achievement
CPD Accredited Certification
Certification is available –
- In PDF for £2.99
- Hard copy for £8.99
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- PRIVATE
- 1 year
- Level 7
- Number of Units121
- Number of Quizzes0
- 3 weeks, 4 days