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
Nontraditional 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 disciplinespecific 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 decisionfocused. 

