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Tamara Shatar is our Data Analytics Lead, designing and delivering our Data Analytics courses. She holds a PhD in Agricultural Data Science and has extensive experience focused on data analysis, modelling using machine learning, simulation and other techniques. Working in both academia and at the CSIRO, part of her role included teaching a variety of data analysis skills.
Data analysis is a skill that's growing in demand. Learn how to use various programs to analyse and visualise your data. Use languages like R and Python, to manipulate, analyse and visualise data more effectively. Get started with the R Programming Basics, the first training course in this series.
Learn R programming to run data analysis. R Basics to Machine Learning. Courses led by our Data Scientist.
What do student reviews say?
"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 Basics Sydney/Remote
"Great trainer, structure, material and manual. I have completed programming courses before but this one just made more sense! I'm sure it was the trainer. Looking forward to the Intermediate course when it is available." R Beginner Sydney"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/Remote"Interesting material and very well run. Thanks again Tamara." R Intermediate Brisbane/Remote
What is Data Analytics?
Businesses are accumulating data at an increasingly fast rate. This data is valuable if management can use it to support and drive more effective decision making. Data analytics involves analysing data to produce meaningful insights, identify patterns and present findings in visualisations. It is the art of finding meaning in data.
What is R?
R is an open source and free programming language that was developed for statistical analysis and production of high-quality graphics. Commonly used by 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.
Why Learn R?
Rather than being a point and click tool, R is a language that is used by writing reusable scripts, enabling automation and repeatable workflows. Because it is a language, it offers a huge amount of flexibility in manipulating data and the ability to write new functions. Even without a background in programming, it is relatively easy to get up and running once you know the basics.
Can I run R scripts in Power BI?
Yes, in our webinar, we introduce how to run R scripts in Power BI. If you are interested in learning about R or how to tap into its capability within Power BI then this 80min webinar is a must-watch.
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.
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