50 Important Things You Need to Know About Data Science

This is a guest post by Lauren Delapenha. She is an editor at DiscoverDataScience.com, a one-stop resource for learning about the rapidly-evolving field of data science through comprehensive education and career guides. According to IBM, the world generates 2.5 quintillion bytes of data every day. A decent chunk of those quintillion bytes is made up of people asking the experts how to break into and excel in the dynamic, lucrative field of data science. An even larger chunk of those bytes consists of convoluted, contradicting answers to that question.