data.table is known for its speed on large data in RAM (e.g. 100GB) but it also has a consistent and flexible syntax for more advanced data manipulation tasks on small data too. First released to CRAN in 2006 it continues to grow in popularity. 180 CRAN and Bioconductor packages now import or depend on data.table. Its StackOverflow tag has attracted 4,000 questions from users in many fields making it a top 3 asked about R package. It is the 7th most starred R package on GitHub.
This three hour tutorial will guide complete beginners from basic queries through to advanced topics via examples you will run on your laptop. There is a short learning curve to data.table but once it clicks it sticks.
For details, refer to tutorial description.
