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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
Nexacu R Mobile Image

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 (Asia)

Kuala Lumpur (Asia)

Manila (Asia)

Hong Kong (Asia)

Singapore (Asia)

Jakarta (Asia)

Upcoming Courses:
Bangkok (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
Kuala Lumpur (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
Manila (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
Hong Kong (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
Singapore (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
Jakarta (Asia)
This course is currently being finalised and dates will be live soon.  Contact us to register your interest.
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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

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
deloite_logo

Machine Learning in R Course Details

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
deloite_logo

Machine Learning in R Course Details

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
deloite_logo

Machine Learning in R Course Details

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
deloite_logo

Machine Learning in R Course Details

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
deloite_logo

Machine Learning in R Course Details

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
deloite_logo

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
25102 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 

Contact Us

What is Remote Training?

Valued by Individuals

4.8/5
Over 25102 Reviews
Thanks -Power BI Intermediate Canberra
Mal - Power BI Intermediate, .
Jason did an amazing job, very attentive, personable, and approachable. Always willing to slow down and make sure everyone is on the same page and answer questions. -Power BI Intermediate Canberra
Logan - Power BI Intermediate, .
John was great. Great handbook for reference. Could potentially look at adding more to the course. Calendar's aren't really needed with everything else available. But I would be curious to see what else Visio can do. Thanks again! -Visio Essentials Melbourne
Amber - Visio Essentials, .
John was great and patient! -Visio Essentials Melbourne
Rebecca - Visio Essentials, .
Excellent trainer, concise, explained material very well and was very patient. -Excel Customised Adelaide
Mirella - Excel Customised, .
Totally enjoyed it -Excel Customised Adelaide
Bronwyn - Excel Customised, .
very knowledgeable -Excel Customised Adelaide
Beth - Excel Customised, .
Useful! Wowed me. -Excel Customised Adelaide
Ann - Excel Customised, .
Great session with some insightful tips and tricks! -Power Point Level 1 & 2 Remote Online
Kellie - Power Point Level 1 & 2, .
Danny is an excellent instructor - very informative session with lots of helpful tips! -Power Point Level 1 & 2 Remote Online
Stephie - Power Point Level 1 & 2, .
I have attended from Beginner to Advance course in consecutive days. Having done almost 2 yrs of self learning, these courses has solidified my learning and has given me tips on how to do other things. Dom was great in all 3 courses. -Power BI Advanced Perth
Dion - Power BI Advanced, .
Dom is a great teacher. So knowledgable. -Power BI Advanced Perth
Kristal - Power BI Advanced, .
Excellent course for gaining a greater understanding of Power BI Advanced workings. Trainer is very thorough. -Power BI Advanced Perth
Siobhán - Power BI Advanced, .
Was a great session downloading the office 365 capabilities! -Office365 Intermediate Brisbane
Selvin - Office365 Intermediate, .
Great course with some really helpful and insightful tips and tricks which I can use in the work place and beyond. Steven was an amazing trainer who explained each of the processes clearly and easily to understand. Thank you so much! -Office365 Intermediate Remote Online
Kaimani - Office365 Intermediate, .
Great Course. Steven was a great instructor, was very clear in his instruction and kind whenever he had to re-address any content. He was also good at trying to cover the topics we were wanting to focus on. -Office365 Intermediate Brisbane
Emma - Office365 Intermediate, .
This was a great opportunity to fill in so many gaps I had in my day to day use of Power BI. Very user friendly and easy to follow. -Power BI Advanced Brisbane
John - Power BI Advanced, .
Jason was great and the course was extremely informative. -Power BI Beginner Canberra
Mark - Power BI Beginner, .
Examples were useful, good spread of key functionality and handy tips -Power BI Beginner Canberra
Ben - Power BI Beginner, .
It is a great course and Jason has done it very interestingly throughout the day. Thank you. -Power BI Beginner Canberra
Hemamali - Power BI Beginner, .

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