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 […]
12. Back to reading, Bit by Bit
I paused efforts on an introductory course on machine learning and statistical inference after finding Professor Matthew J. Salganik’s draft book, Bit by Bit: social research in the digital age, which has been available for open peer review since summer 2016 (click on the book title to access it, and here to learn about the […]
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 […]