Summary
Avoid the liability of not being able to “talk the data science talk.” This four-page document provides you with succinct definitions for 30 data science key terms, so you can understand and participate in relevant conversations.
The Data Science Vocabulary contains definitions and explanations for commonly used Marketing, Statistics, and Computer Programming programs and terms from “A” (A/B Testing, Addressable Marketing, Artificial Intelligence, and AWS – aka Amazon Web Services) to “V” (Version Control/Source Control) with many in between.
The Data Science Vocabulary resource will help you to differentiate terms that are often mistakenly used such as Machine Learning and Artificial Intelligence; to understand relationships such as those between Data Hygiene and Data Quality; and to understand the role of programming languages like Python, R, and SQL.
You may also want to review a companion piece to this presentation:
Data Science 101