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What exactly is an ‘endorsed’ course?

Accepted Answer

An endorsed course signifies quality content and premium material in a course for the non-regulated market which has been reviewed and approved by an independent quality inspector.

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Does this course have any endorsements? Do I get any endorsed certificate after completion of the course?

Accepted Answer

This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. After successfully completing the course & with a 60% passing score in assessment test, you will be able to order an endorsed certificate as proof of your new achievement.

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Do I get any accredited qualifications after completing this course?

Accepted Answer

This course is not regulated by Ofqual and is not an accredited qualification. One Education will be able to advise you on any further recognition, for example, progression routes into further and/or higher education.

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How to order a QLS certificate?

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Endorsed certificates can be ordered and get delivered to your home by post for only £129. There is an additional £10 postage charge for international students

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What is the method of teaching?

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The course is fully online. You can study this course at your own pace. You will be taught through a combination of 
1. Video lessons
2. Online study materials

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How can I further assess my learning and get full tutor support?

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Full tutor support is available only on weekdays ( Monday - Friday). You are advised to complete the assignment questions provided at the end of the course, our expert tutor will assess your assignment and will give you feedback on your performance.

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Can I purchase this course in bulk?

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Question 12

How long can I access this course ?

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All of our courses can be accessed for 1 Year. After one year you have to buy this course again if you wish to continue.

Question 13

What happens if I fail the exam?

Accepted Answer

if you fail, you can always retake the exam for £3.99 — as many times as you want.

Machine Learning with Python

Course Features

Course Description

Module 1: Introduction to Machine Learning Algorithms

Module 2: Preprocessing

Module 3: Regression

Module 4: Classification

Course FAQs