This is the first part of a series by Levon Paradzhanyan that demystifies data science, machine learning, deep learning, and artificial intelligence down while explaining how they all tie into one another. Artificial Intelligence emerged in our lives many years ago. First, as science fiction and today embedded in real products. It has since been followed by newer buzzwords such as data science, machine learning, and deep learning. Yet there are many misconceptions related to these terms.

Demystifying Data Science for All - In this blog post, I cover what data science is, the people who practice it and the tools they use to generate insights. You'll find links to two important events in which I participated this year, IBM's Data Science for All, and Metis' Demystifying Data Science. What Data Science Skills Do you Need in a Big Data World? These skill areas are: 1) subject matter expertise, 2) technology/programming and 3) statistics/math. Data science is essentially a way to extract insight from data using these three skills.

Kevin Gray: How would you define Statistics, IT, Data Science, & AI in simple, layperson's terms? Dr. Randy Bartlett: Statistics is the scientific collection, organization, analysis, and interpretation of data. IT involves the development, maintenance, and use of computer systems, software, and networks. Based upon the colloquial usage, I would define Data Science as a catch-all term for everything to do with data. AI is software to support and make decisions.