Why Statistics is Not Data Science
Chris Malone | Tisha Hooks

What is Data Science?
0:The science of planning for, acquisition, management, analysis of, and inference from data (Source: StatSNSF Committee)
1:Computational tools required for big/wide data
Non-traditional techniques used to analyze the data/create predictions - neural networks, machine learning, etc.
2:"The art and science of computing with data???"
3:Study and practice of the collection, maintenance, analysis, and visualization of data (often at a large scale) using ethical, computationally supported, and statistically valid methods.
4:Statistics with bigger, messier data
5:The science of data gathering, exploration, and manipulation from unstructured or unconventional data sources.
6:big data, integration of statistics and computer scientist, computation, less inferential more prediction focused, grabbing data from multiple sources, data manipulation and cleaning
7:Wrangling real (and really messy) data from any field to address questions about the world.
Data science is a subset of statistics?
8:Data science is an interdisciplinary science that includes statistics, computer science, communication skills, and domain knowledge.
9:combining tools from statistics and computer science to manage and analyze complex data, with greater emphasis on upstream (i.e., before analysis) data processing
11:Application of computational and inferential thinking to a discipline-specific problem. Includes areas outside of statistics such as data management/storage.
12:Integration of statistics, computation, and data management
13:Emerging field involving data management, computation, statistical models, visualization, interpretation, domain knowledge, communication, and decision-focused.