Use the code: bootcamp50 to receive 50% off at checkout.****
There is no shortage of data being collected by services and organisations. Someone needs to organise or "wrangle" this data for businesses to make data-driven decisions to improve the customer experience. R, an open-source, dedicated statistical language will help you wrangle data into meaningful formats for analysis and insight, irrespective of your industry and background. This workshop will demonstrate common data wrangling steps to transform data to tidy cleansed formats for analysis, visualisation and business intelligence.
If you want to level-up your analysis skills and learn a new way to process, analyse and visualise data, join us in this introductory class and learn the fundamentals of wrangling data with R.
This workshop is designed for anyone who works with data or interprets data from reports and dashboards. It is ideal for those wishing to advance from using Excel to organise and present data. No programming experience is required.
This workshop is highly interactive with group activities and discussions throughout. To participate you will need to: * Have your camera turned on for the entire session * Have an accessible microphone * Be in a quiet, well-lit space with minimal distractions * Strong internet connection
Muhsin spent a rather long time in academia collecting a degree in biochemistry and genetics and a PhD in neuroscience. Being unsuccessful in gaining a position as a mad scientist, he worked as a data analyst across a variety of industries including in government, not-for-profit and retail. He employed open-source tools to wrangle data into tidy meaningful formats to aid decision-making. Muhsin currently works at the Commonwealth Bank as a senior analyst and wears hats and colourful Converse shoes most of the time.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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