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R language Nexacu

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

R language Nexacu
Learn the basic processes of machine learning using R programming. Led by experienced data scientist.
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day

Frequently Asked Questions

Meet your Trainer

instructor tamara

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, R Basics, 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." - R Programming Basics 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, 79 George 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
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

R Programming Course Outlines

  • Machine Learning in R
  • R Programming Certification
  • Machine Learning in R Certification
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Course Rating
R Programming Training Courses

4.72 5 R Programming Training Courses
4.72 out of 5
29391 Student Reviews

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What do I need to know to attend?

  • Attended our R programming Basics 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 

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What is Remote Training?

Valued by Individuals

4.72 / 5
Over 29391 Reviews
Knowledgeable and interesting training, will be very useful in my current work. -Power BI Beginner Perth
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Brilliant thank you -Power BI Beginner Perth
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Excellent presentation. Clear and concise. -Power BI Beginner Perth
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