Increasingly, data comes in large sets, and meaning must be derived by the user. Graduate business students and their future employers are looking for complementary computer programing knowledge to discover and display custom meaning from large sets of data. We present the context for graduate business programs and data analytics, the increasing need for knowledge of software computing and computer programing capabilities, and how libraries are well positioned to play a part in this data literacy. We also present a case study utilizing the Software Carpentries curriculum and lessons to provide a certificate program in software computing for graduate business students. Finally, we suggest opportunities for the academic business library community to further this work.
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