Advanced Machine Learning with R

Access Duration - 365 Days
Guided Learning Hour 02 Guided Learning Hours (02)
Course Materialr Course Material
Number of Modules 04 Number of Modules 04
4.7( 3 REVIEWS )


Gain an insight into the advanced aspects of machine learning with R by taking this practical course in Advanced machine learning with R. This course aims to guide individuals with a basic knowledge on R programming language, statistics and data frames, on how to build machine systems in R by taking them through real-world examples. This accredited qualification might pose a great advantage for your career in data science and will provide you with skills that are sure to make you stand out from the others within the industry.

This course will start off by teaching you on how to tune hyper parameters based on the type of data to effectively solve a machine learning problem. You will be provided with an example that lets you explore sonar data, perform exploratory analysis on the dataset and improve the model through iterating. The other example will dive into the basics of neural networks by providing you an example on DNA classification. You will be guided on how to explore the DNA dataset, implement a neural network that classifies data and work with neural network algorithm directly.

The next example will pry into the keras package of R programming language to classify the DNA dataset from the previous example. You will also get to explore the CIFAR10 dataset and the convolutional Neural Network that is used in visual imagery. The final example of this course will discuss about the shiny package in R programming language that can be used to present data within a production system. By the end of this course, you will walk away with an advanced knowledge on machine learning with R to make significant progress within the industry. 

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.


  • Access Duration 
  • Who is this course aimed at?
  • Entry Requirements
  • Method Of Assessment
  • Certification
  • Career Path
  • Other benefits
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
This course might interest individuals hoping to learn how R programming language can be used to build machine learning systems
  • Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
  • A basic knowledge on the R language, data frames and statistics is essential to follow up on this course
The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.
Those who pass this test will get a certificate in Advanced Machine Learning with R.

This certificate will supplement your qualifications and help you in working for a number of jobs in the data science industry. You can also use this certificate to expand your education in the area or to win the job promotion or salary increment put forth by your organisation. Mentioned below are some of the jobs this certificate will benefit you in, along with the average UK salary per annum according to,

  • Data analyst – £25,972 per annum
  • Data scientist – £35,226 per annum
  • Applications Architect – £59,869 per annum
  • Statistician – £31,231 per annum
  • High-quality e-learning study materials and mock exams.
  • Tutorials/materials from the industry leading experts.
  • 24/7 Access to the Learning Portal.
  • The benefit of applying for TOTUM extra Discount Card.
  • Recognised Accredited Qualification.
  • Excellent customer service and administrative support

Key Features

Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842

Course Curriculum

Getting Started
Online Training User Manual
E Certificate Download Guide 00:00:00
Section 1: Sonar Data – Hyper-Parameter Tuning
1.1. The Course Overview 00:00:00
1.2. Explore Sonar Data Set 00:00:00
1.3. Tuning Grids 00:00:00
1.4. Iterating – Improving our Tuning 00:00:00
1.5. Final Results 00:00:00
Section 2: Neural Network
2.1. Neural Networks Basics 00:00:00
2.2. Explore the DNA Set 00:00:00
2.3. Implement a Neural Network 00:00:00
2.4. Multi-layer Perceptron 00:00:00
2.5. One Hot Encoding and MLP 00:00:00
Section 3: Keras – Deep Learning on the GPU
3.1. Overview of the Keras 00:00:00
3.2. Installing Keras 00:00:00
3.3. Neural Network in Keras 00:00:00
3.4. CIFAR10 Data Set 00:00:00
3.5. Convolutional Neural Network 00:00:00
Section 4: Deploying Your Model
4.1. Saving Your Model in R 00:00:00
4.2. Saving Your Model for Another Language 00:00:00
4.3. Shiny Web Interfaces 00:00:00
4.4. Wrapping Your Model in Shiny 00:00:00
Mock Exam
Mock Exam : Advanced Machine Learning with R 00:40:00
Final Exam
Final Exam : Advanced Machine Learning with R 00:40:00

Students feedback


Average rating (3)
5 Star
4 Star
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1 Star
    J B

    Jemima Bennett

    June 05, 2019

    I found the instructional videos rather well-paced so that I could learn at my own convenience. The course was packed with information, and at first it took me a while to get the hang of how the course was taught, but later managed to catch up.

    N H

    Nova Hunt

    May 27, 2019
    Excellent Course

    Very practical, hands-on course. Best suited for data analysts and data scientists.

    J D

    Jayden Duncan

    May 18, 2019
    Fairly Good Course

    As a Data Analyst I was very interested in studying Advanced Machine Learning with R. It was a fairly good course covering R programming language. I was quite happy with my learning experience and hope to study more courses at Global Edulink.

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