Julia is a great language for doing data science. With its C-like speed, familiar Matlab/Numpy style API, extensive standard library, metaprogramming and parallel processing capabilities, and growing set of machine learning libraries, it is rapidly gaining ground within the data science community. In this IJulia notebook we’ll go through brief introductions to the language and some of the packages available for data wrangling, visualization, analysis and prediction. Stay tuned for more to come.