Data Literacy For All – A Reading List

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One of the most important roles that we should be embracing right now is training the next-generation workforce in the art and science of data. Data Literacy is a fundamental literacy that should be imparted at the earliest levels of learning, and it should continue through all years of education. Education research has shown the value of using data in the classroom to teach any subject — so, I am not advocating the teaching of hard-core data science to children, but I definitely promote the use of data mining and data science applications in the teaching of other subjects (perhaps, in all subjects!). See my “Using Data in the Classroom Reading List” here on this subject.

I encourage you to read a position paper that I wrote (along with a few astronomy colleagues) for the US National Academies of Science in 2009 that addressed the data science literacy requirements in astronomy. Though focused on the needs in astronomy workforce development for the coming decade, the paper also contains more general discussion of “data literacy for the masses” that is applicable to any and all disciplines, domains, and organizations: “Data Science For The Masses.”

Two new “…For Dummies” books can help in those situations, to bring data literacy to a much larger audience (of students, business leaders, government agencies, educators, etc.). Those new books are: “Data Science For Dummies” by Lillian Pierson, and “Data Mining for Dummies” by Meta Brown.  And here is one more that I believe is an excellent data literacy companion: The Data Journalism Handbook.

Data Mining For Dummies Data Journalism Handbook Data Science For Dummies

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