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Machine Learning in R - Training Course

Understand the machine learning process using R

Machine Learning involves using a variety of techniques to build predictive models or extract insights from data. Our Machine Learning course builds on your basic knowledge of R and will provide you with an understanding of the machine learning process. You will learn how to perform:
  • cluster analysis and
  • create regression and classification models with random forests in R.

You will also be introduced to R in Power BI and how we can incorporate these analyses into a Power BI workflow. Training will be delivered by our experienced data scientist, Tamara Shatar PhD. Find more course details below.

Machine Learning in R - Training Course

4.8

Learn the basic processes of machine learning using R programming. Led by experienced data scientist.

$550 $455 USD
10 max
1 day
$550 $455 USD
10 max
1 day
$550 $455 USD
10 max
1 day
$550 $455 USD
10 max
1 day
$550 $455 USD
10 max
1 day
$550 $455 USD
10 max
1 day

Bangkok

Kuala Lumpur

Manila

Hong Kong

Singapore

Jakarta

Upcoming Courses:
Bangkok
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Bangkok
Status: Scheduled
Scheduled
Kuala Lumpur
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Kuala Lumpur
Status: Confirmed
Confirmed
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Kuala Lumpur
Status: Scheduled
Scheduled
Manila
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Manila
Status: Scheduled
Scheduled
Hong Kong
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Hong Kong
Status: Scheduled
Scheduled
Singapore
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Singapore
Status: Scheduled
Scheduled
Jakarta
Date
Course
City
Status
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Thu 1-Apr-21
Thu 1 Apr
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Tue 11-May-21
Tue 11 May
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Jakarta
Status: Scheduled
Scheduled
Scheduled
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Frequently Asked Questions

Meet your Trainer

Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the Australian CSIRO, part of her role included teaching a variety of data analysis skills. Tamara has designed our first Data Analytics Training Course, Using R, to provide beginners with the fundamental tools necessary to start using R for data analysis. She is consistently well reviewed by her students. 

"The course was really good, Tamara is an excellent trainer and was able to answer my questions, the resources she provided to help after the course are excellent. I was a bit overwhelmed at the beginning trying to learn a new language, but Tamara put me at ease and went through the content at a pace that I could understand." - R Basics Brisbane, Australia 

What is R? 

R is an open source and free programming language that was developed for statistical analysis and production of high-quality graphics. It has long been popular with statisticians and academics who make up part of the large active user community behind R. This community has contributed over 15,000 packages that extend the base functionality of R, making it easy to implement a vast range of techniques for data manipulation, analysis and visualization.  

What is Machine Learning?

Machine learning refers to a group of analysis techniques used to extract knowledge from data. It involves using mathematical or statistical models to predict outcomes. The models use algorithms (step-by-step programming instructions) to "learn" from data.  

What is Remote Training?

Remote training at Nexacu, means our team of experienced trainers will deliver your training live online. With remote learning students can access our usual classroom training courses via video conferencing, ask questions, participate in discussion and share their screen with the trainer if they need help at any point. Students have the same level of participation and access to the trainer as they would in classroom training sessions. 

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
53, Siwatel Tower, 1st Floor, Witthayu Road, Lumphini, Khet Pathum Wan, Bangkok, 10330
microsoft_gold
deloite_logo

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
3, Jalan Stesen Sentral, Kuala Lumpur Sentral, 50470 Kuala Lumpur
microsoft_gold
deloite_logo

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
Glorietta Mall, Palm Dr, Ayala Center, Makati, 1224 Metro Manila
microsoft_gold
deloite_logo

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
Pacific Place, 88 Queens Way, Hong Kong
microsoft_gold
deloite_logo

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
9 Wallich Street 078885 SINGAPORE
microsoft_gold
deloite_logo

Machine Learning in R Course Details

Price
$546 $455 USD
Duration
1 day
Times
9am - 4pm ( approx )
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training Live Online
Address
Jl Pegangsaan Timur No.17 Cikini Jakarta 10310, ID
microsoft_gold
deloite_logo

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Course Rating
Data Analytics Training Courses

4.8 5 Data Analytics Training Courses
4.8 out of 5
23527 Student Reviews

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What do I need to know to attend?

  • Attended our R programming Foundations and Beginner courses or have basic familiarity with R.
  • You will not be expected to code unassisted but will achieve better learning outcomes if you have a fundamental understanding of R syntax.
  • Basic familiarity with Power BI is desirable (data import and creating basic visuals)
  • Basic understanding of statistics (mean, median, standard deviation, variance)

Machine Learning in R Learning Outcomes

You will develop an understanding of and be able to:

  • Generate insights from your data using cluster analysis
  • Create predictive models from your data using random forests


  • Assess the predictive accuracy of your classification and regression models
  • Leverage models to make predictions to guide decision-making
  • Incorporate R scripts in your Power BI workflow

Machine Learning in R Course Content

  • Introduction 
  • Introduction to machine learning 
  • Supervised vs unsupervised learning 
  • The machine learning process 
  • Cluster analysis 
  • Purpose of cluster analysis 
  • Real-world applications 
  • K-means 
  • How the algorithm works 
  • Data preparation 
  • How many clusters? 
  • Performing k-means clustering in R 
  • Customer segmentation with cluster analysis
  • Random forests 
  • Basics of tree-based models 
  • Classification vs regression trees 
  • From trees to forests 
  • Ensemble learning: bagging to reduce overfitting and improve predictive accuracy 
  • Preparing data for analysis 
  • Splitting data into training and test sets 
  • Training the model 
  • Assessing model accuracy 
  • Classification vs regression metrics 
  • Optimising the model 
  • Using the model for prediction 
  • R Scripts in Power BI 
  • Setting up 
  • Running R Scripts in Power Query to create new data 
  • Creating R visuals in Power BI 

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What is Remote Training?

Valued by Individuals

4.8/5
Over 23527 Reviews
Very well explained and very patient. Instructor always checked in to see how the group was going. -Word Intermediate Brisbane
Alisha - Word Intermediate, .
Steven was very clear and concise. Easy to follow. Disappointed that I flunked the capability test, as I should have probably been doing the advanced course. But still gained some useful tips and reminders. -Word Intermediate Brisbane
Sarah - Word Intermediate, .
great course steven really helped -Word Intermediate Brisbane
Justin - Word Intermediate, .
Great information, delivered well and interactive. -Word Intermediate Brisbane
Trish - Word Intermediate, .
Great course, very informative. I enjoyed learning more about page breaks/section breaks. -Word Intermediate Brisbane
Candice - Word Intermediate, .
Was really great. Thanks Jason! -Office365 Intermediate Brisbane
Andrea - Office365 Intermediate, .
Thanks a lot. -Office365 Intermediate Brisbane
Magdalena - Office365 Intermediate, .
It was very into detail for the things I feel like needed less time spent. -Office365 Intermediate Brisbane
Chloe - Office365 Intermediate, .
In-depth training. Jason is a great trainer that keeps it interesting. -Office365 Intermediate Brisbane
Dominique - Office365 Intermediate, .
Very Helpful. -Office365 Intermediate Brisbane
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l -Office365 Intermediate Brisbane
Ivy - Office365 Intermediate, .
Even though I use Excel on a daily basis I still learnt some things in the beginners course. Knowledgeable trainer -Excel Beginner Adelaide
Judith - Excel Beginner, .
that was a great refresher with a few new tips thrown in. Thanks Jagg for a great class. -Excel Beginner Adelaide
Gabrielle - Excel Beginner, .
Fantastic Trainer - everything was very into detail and straight forward. enjoyed it. Thanks again -Excel Beginner Adelaide
Mike - Excel Beginner, .
Perfect trainer very helpful -Excel Beginner Adelaide
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Well presented and informative -Excel Beginner Adelaide
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Very helpfull and informative! -Excel Beginner Adelaide
Bronwyn - Excel Beginner, .
Excellent and very thorough -Project Intermediate Sydney
ian - Project Intermediate, .
easy to follow steps that have provided short cuts and better understanding of program. presenter was easy to follow and kept language simple, minimal technical terms -Excel Beginner Perth
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Great thank you - -Excel Beginner Perth
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