Data Science without statistics is possible, even desirable. Data Science, Statistics, Mathematics and Applied Mathematics, Operations @ Unisa Some aspects to consider related to training as a data scientist 1. Its acolytes possess a practical knowledge of tools & … You may not really need a degree in data science – you will need a good foundation in core areas such as mathematics, computer science, statistics… Andrew Gelman, Columbia University 8 Clearly, there are many visions of Data Science and its relation to Statistics… Here are two contrasting definitions of what statistics is, from eminent professors in the field, some 60+ years apart: "Statistics is the branch of scientific method which deals with the data … 5 Distinguish between qualitative and quantitative data. 6 Determine whether a value is discrete or continuous. The definition of what is meant by statistics and statistical analysis has changed considerably over the last few decades. 1William S. Cleveland decide to coin the term data science and write Data Science: An action plan for expanding the technical areas of the eld of statistics [Cle]. 4 State the four scales of measurement and provide an example for each. • “Data science, as it's practiced, is a blend of Red-Bull-fueled hacking and espresso-inspired statistics.” • “Data science is the civil engineering of data. 7 Enter data … His report outlined six points for a university to follow in developing a data … behavioral science. Vincent Granville, at the Data Science Central Blog7 Statistics is the least important part of data science.