Data Science Career Tracks: What's the Right Path for You?

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Description

Colin GillespieRobin Lovelace

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. There are many excellent R resources about topic areas such as visualisation (e.g. Chang 2012), data science (e.g. Grolemund and Wickham 2016) and package development (e.g. H. Wickham 2015b). There are even more resources on how to use R in particular domains, including Bayesian Statistics, Machine Learning and Geographic Information Systems.

However, there are very few unified resources on how to simply make R work effectively. Hints, tips and decades of community knowledge on the subject are scattered across hundreds of internet pages, email threads and discussion forums, making it challenging for R users to understand how to write efficient code.Read more.

Career Relevance by Data Role

The techniques and tools covered in Efficient R programming are most similar to the requirements found in Data Scientist job advertisements.


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