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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.
Learn the basic processes of machine learning using R programming. Led by experienced data scientist.
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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.
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.
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You will develop an understanding of and be able to: