Intro to Data Wrangling Workshop | June 21

There is an increasing need to derive insights from raw datasets across industries and for a range of volumes. Despite the hype of ‘data science’, the need to manipulate data will always be required prior to any analysis. This workshop is perfect for anyone interested in deriving meaning from data, including the steps required to structure data by following key steps which will be covered.

Students will understand what is required to organise data into a format that can be used for analysis. Contents include the basic concepts of programming, reading data into R/Python, changing data types, checking for duplicates, creating new fields, joining datasets, aggregating and summarising data, creating plots and using dashboard tools. This workshop will not teach students how to code in real time – code will be presented, however the general concept of what the code achieves will be the focus.

Please note:

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

• Why learning an open-source programming language is required for data analysis (more job opportunities and flexibility beyond licensed software)
• The key steps required to organise data (concepts rather than the actual programming required)
• How to get started in a career in data analysis from lessons-learnt by an industry expert with experience from academia, government, tv & advertising, retail and banking.

In preparation, please download Zoom.

This session is not recorded however, you will receive the instructor’s slides following the session.

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, retail and banking. He employed open-source tools to wrangle data into tidy meaningful formats to aid decision-making. Muhsin currently works at Mable as a senior analyst and wears hats and colourful Converse shoes most of the time.