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Machine Learning in R - Training Course

Understand the machine learning process using R

All classes delivered remotely, for in-class sessions please call us.
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
Nexacu Microsoft R Programming  Courses
$745
5 (avg)
1 day
$745
5 (avg)
1 day
$745
5 (avg)
1 day
$745
5 (avg)
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$745
5 (avg)
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$745
5 (avg)
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$745
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$745
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Remote

Brisbane

Sydney

Parramatta

Melbourne

Canberra

Adelaide

Perth

Upcoming Courses:
Remote Online
Date
Course
City
Status
Wed 23-Sep-20
Wed 23 Sep
Machine Learning in R
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Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
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Machine Learning in R
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Machine Learning in R
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Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
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Brisbane
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Wed 23-Sep-20
Wed 23 Sep
Machine Learning in R
Brisbane
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Brisbane
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Brisbane
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Brisbane
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Brisbane
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Brisbane
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Thu 17-Jun-21
Thu 17 Jun
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Brisbane
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Sydney
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Wed 23-Sep-20
Wed 23 Sep
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Sydney
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Sydney
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Fri 18-Jun-21
Fri 18 Jun
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Sydney
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Parramatta
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Wed 23-Sep-20
Wed 23 Sep
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Parramatta
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Fri 18 Jun
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Parramatta
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Melbourne
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Wed 23-Sep-20
Wed 23 Sep
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Melbourne
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Tue 27 Oct
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Melbourne
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Melbourne
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Melbourne
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Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Melbourne
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Canberra
Date
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Wed 23-Sep-20
Wed 23 Sep
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Canberra
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Tue 27 Oct
Machine Learning in R
Canberra
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Thu 26 Nov
Machine Learning in R
Canberra
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Canberra
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Machine Learning in R
Canberra
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Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Canberra
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Adelaide
Date
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City
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Wed 23-Sep-20
Wed 23 Sep
Machine Learning in R
Adelaide
Status: Scheduled
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Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Adelaide
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Thu 26 Nov
Machine Learning in R
Adelaide
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Wed 20 Jan
Machine Learning in R
Adelaide
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Thu 25 Feb
Machine Learning in R
Adelaide
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Adelaide
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Tue 11 May
Machine Learning in R
Adelaide
Status: Scheduled
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Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Adelaide
Status: Scheduled
Scheduled
Perth
Date
Course
City
Status
Wed 23-Sep-20
Wed 23 Sep
Machine Learning in R
Perth
Status: Scheduled
Scheduled
Tue 27-Oct-20
Tue 27 Oct
Machine Learning in R
Perth
Status: Scheduled
Scheduled
Thu 26-Nov-20
Thu 26 Nov
Machine Learning in R
Perth
Status: Scheduled
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Wed 20-Jan-21
Wed 20 Jan
Machine Learning in R
Perth
Status: Scheduled
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Thu 25-Feb-21
Thu 25 Feb
Machine Learning in R
Perth
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Thu 1 Apr
Machine Learning in R
Perth
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Tue 11-May-21
Tue 11 May
Machine Learning in R
Perth
Status: Scheduled
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Fri 18-Jun-21
Fri 18 Jun
Machine Learning in R
Perth
Status: 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 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. 

"I found this 1 day course to be packed full of information - a very heavy load but masterfully delivered by Tamara. It is very clear that we were learning from someone who is extremely capable and experienced with both the software solution AND it's real world application. I liken the experience to taking golf lessons from Tiger Woods or basketball coaching from Michael Jordan. All questions were addressed as if they were always part of the planned course content - seamless. Thank you so much for this opportunity." -Fundamentals of R Sydney Remote 

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 visualisation.  

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
$745
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
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
L10, 333 Adelaide Street, Brisbane QLD 4000

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 37 Pitt Street, Sydney NSW 2000

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 90 Phillip Street, Parramatta NSW 2150

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
*REMOTE* Level 3, 466 Little Lonsdale St, Melbourne VIC 3000

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Ethos House, Level 1, 28 Ainslie Place, Canberra ACT 2601

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 3, 97 Pirie Street, Adelaide SA 5000

*Limited in-class seats due to COVID-19.
microsoft_gold

Machine Learning in R Course Details

Price
$745
Duration
1 day
Time
9am - 4pm ( approx )
Class Size (max)
Capped*
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 4, 220 St Georges Tce, Perth WA 6000

*Limited in-class seats due to COVID-19.
microsoft_gold

Data Analytics Course Outlines

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Course Rating
Data Analytics Training Courses

4.8 5 Data Analytics Training Courses
4.8 out of 5
22963 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 
  • Classification vs regression trees 
  • Basics of tree-based models 
  • The bias-variance trade-off
  • From trees to (random) forests 
  • Ensemble learning: bagging to reduce overfitting and improve predictive accuracy 
  • The process of supervised machine learning
  • Feature engineering
  • Splitting data into training and test sets 
  • Training the model 
  • Improving the model
  • Using the model for prediction
  • Evaluating the final model
  • Classification vs regression metrics
  • The process of creating a random forest model
  • Random forests in R 
  • Classification tree and random forest classification model
  • Regression tree and random forest regression model
  • Improving the model 
  • R Scripts in Power BI 
  • Why bring a machine learning model into Power BI?
  • Setting up 
  • Cluster analysis in Power BI
  • Random forest models in Power BI
  • R visuals in Power BI 

Contact Us

What is Remote Training?

Valued by Individuals

4.8/5
Over 22963 Reviews
It is the 1st time that I use Power BI and at the end of the training session I have gained a good knowledge. Ken was organised and helpful. -Power BI Beginner Canberra
Kumara - Power BI Beginner, .
Very helpful and easy to understand. -Excel Advanced Perth
Bennett - Excel Advanced, .
Another great workshop with Dom, always helpful and keeps things exciting. Very knowledgeable and a great teacher. -Excel Advanced Perth
Felix - Excel Advanced, .
Learnt so much! -Excel Advanced Perth
Shay - Excel Advanced, .
Excellent course. Well delivered and informative. -Excel Advanced Perth
Stephen - Excel Advanced, .
Great course and instructor! -Excel Advanced Perth
Tara - Excel Advanced, .
Thank you Michael. You are Very supportive, I hope with your little help I will be able to put my BI training to real use Best Regards, -Power BI DAX Sydney
Gurwinder - Power BI DAX, .
A great course - covered a lot & Michael is very knowledgeable & patient! -Power BI DAX Sydney
Lauren - Power BI DAX, .
Lot of content, Michael was easy to follow and very helpful. I have lots to take back to work an d practice. I note that we didn't go through the book as it is laid out and there are probably a lot of exercises that we didn't get time to do. I expect that this will need to be done in our own time later. I think this course can be stretched over 2 days. -Power BI DAX Sydney
Fiona - Power BI DAX, .
Very useful course and excellent tutor. Keen to know more about DAX Studio. -Power BI DAX Sydney
Lina - Power BI DAX, .
Great trainer, really engaging which is difficult in a virtual environment. Covered a lot in one day, and looking forward to the next course. -Power BI Beginner Adelaide
Kelleigh - Power BI Beginner, .
Jagg explained everything clearly and in a very logical order which helped with understanding the intricacies and end result of the package. He handled the hybrid teaching environment (online and face to face) very well. -Power BI Beginner Adelaide
Suranie - Power BI Beginner, .
Well paced, easy to follow, engaging presentation -Power BI Beginner Adelaide
Nathaniel - Power BI Beginner, .
Good tutorial class. Learnt a lot! -Power BI Beginner Adelaide
Julian - Power BI Beginner, .
A great foundation for an introduction to Power BI. -Power BI Beginner Adelaide
Jason - Power BI Beginner, .
-Power BI Beginner Adelaide
darren - Power BI Beginner, .
This course was very informative for someone who is very familiar with Excel and self-taught but wanting to fill in the gaps and expand their knowledge even more. Steven was a brilliant trainer - he spoke clearly and slowly (which really helps when doing this course online) and made sure that everyone in the session was following each step. And his virtual chocolate frogs were much appreciated! Thank you so much! -Excel Advanced Brisbane
Rebecca - Excel Advanced, .
Good Introduction to advance features, would like to extend to the next level which is probably more aligned to the specialist courses. Key Goals achieved - 7 efficiency options in modelling identified. -Excel Advanced Brisbane
Robyn - Excel Advanced, .
Stephen was easy to follow and doing it on line was a great experience. -Excel Advanced Brisbane
Helen - Excel Advanced, .
Steven was a fantastic teacher - explained things clearly and checked in. His also took the time to find out what we do for work and try to tailor what we focused on based on those needs or highlight when what we were learning may be especialy applicable to certain people. The course is great with the resources to play with - i got a lot out of it Virutal chocolate frogs for Steven! -Excel Advanced Brisbane
Shakira - Excel Advanced, .

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