Data Literacy, the Foundation to Decision Making

So you’re not planning on becoming a data scientist or analyst anytime soon, but is it still important to become data literate? What does data literacy even mean?

We all know that literacy is foundational for one to be a functioning member of society. However, there no longer exists a time were merely knowing how to read and write is enough to survive in the age of information. As all things evolve, even literacy has evolved. When computers became affordable society soon followed and become computer literate. Schools began offering classes to teach computer literacy and libraries offered the community access to computers. Without being computer literate one would find difficulties getting a job, but now we face a new type of literacy we must learn and that is data literacy.

TechSadie St. LawrenceJune 25, 2016data, data literacy, self developmentComment

Keys to Data Exploration

One of the first things any good data scientist does before building a predictive model is to explore their data. The temptation can be to rush through this exploration stage in order to get to a working product faster. However, if we take just a little more time in this area we can save hours of work, build better models and troubleshoot issues much faster. To get you started, I’ve outlined a few principles for data exploration.

TechSadie St. LawrenceNovember 3, 2015data, data exploration, tutorialComment

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