15. Where R we going – part II?

In my last post I talked about why I chose to pursue R via DataCamp. Between January and the end of March I completed the first three courses of the data analyst with R track. I found a rhythm for learning in limited time – structured exercises through the DataCamp course, daily practice to recap […]

14. Where R we going?

An upsurge in paid work meant professional development took a back seat for a while. In this post I talk about finding a realistic way forward for developing my data skills, within a limited amount of time. In my last post, ten months ago, I described lessons learned from dipping into different software and programming […]

10. Getting going with big data analytics

After social media analytics I signed up for this Big Data Analytics programme. Also by Queensland University of Technology, it is a series of four courses covering the collecting, storing and managing (week 1); statistical inference and machine learning (week 2); mathematical modelling (week 3) and data visualisation (week 4). (As an aside for anyone […]

6. Less reading, more doing: skills for data analysis

When I was ready to start doing more with data, I went looking for courses that would help me achieve three things: Test and refresh my understanding of basic statistical concepts when analysing or interpreting dataIntroduce me to the skills and tools I would need to work with big data, including the role for codingExperience […]