The explosive growth in volume and varieties of data generated by the seemingly endless arrays
of digital systems and applications is rapidly elevating the importance of being able to
utilize data in fact data analytic literacy is becoming as important now at the onset of the
Digital Era as rudimentary literacy and numeracy were throughout the Industrial Era. And yet
what constitutes data analytic literacy is poorly understood. To some data analytic literacy
is the ability to use basic statistics to others it is data science 'light' and to still
others it is just general familiarity with common data analytic outcomes. Exploring the scope
and the structure of rudimentary data analytic competencies is at the core of this book which
takes the perspective that data analytics is a new and distinct domain of knowledge and
practice. It offers application-minded framing of rudimentary data analytic competencies built
around conceptually sound and practically meaningful processes and mechanics of systematically
transforming messy and heterogeneous data into informative insights. Data Analytic Literacy is
meant to offer an easy-to-follow overview of the critical elements of the reasoning behind
basic data manipulation and analysis approaches and steps coupled with the commonly used data
analytic and data communication techniques and tools. It offers an all-inclusive guide to
developing basic data analytic competencies.
