Data Science Skills Venn Diagram
Having a math and statistics knowledge base allows you to theorize and evaluate algorithms and tweak the existing procedures to fit specific situations.
Data science skills venn diagram. Andrew silver adret llc 2017 drew conway 2013 t he multidisciplinary field of data science can be visualized with this infamous venn diagram by drew conway. I agreed on the view. Read this comparative overview of data science venn diagrams for both the insight into the profession and the humor that comes along for free. And i want to talk a little more about why each of those three elements in the venn diagram of data science are so important.
This is a venn diagram of data science solutions not data science itself. The venn diagram of data science those with hacking skills can conceptualize and program complicated algorithms using computer languages. Then came all the rest. Discover how data scientists use programming languages such as r python and sql.
It has been long time since i saw for the first time the data science venn diagram. The venn diagram is an abstraction. The primary colors of data. The article originated in 2010.
Evaluate different sources of data including metrics and apis. In fact most of the big data tools were just released. An abstraction by definition does not attempt to capture the complexities of reality. Assess the role of mathematics such as algebra in data science.
With this diagram it can be deduced that data science encompasses hacking skills machine learning and multivariate statistics. First came drew conway s data science venn diagram. Assess the skills required for a career in data science. Data science venn diagram.
How to read the data science venn diagram. Nevertheless a more appropriate title for this venn diagram would probably be similar to something along the lines of data science hard skills venn diagram. At that time data science was considered the intersection of domain expertise math stats knowledge and hacking skills. As such data science is one of the circles with other expertises often not residing in the same person but hopefully on the same team being it skills and business skills.
Hacking skills math and stats knowledge and substantive expertise on monday we spent a lot of time talking about where a course on data science might exist at a university. It kinda bothers me that the text labels are pointing to very specific positions in each slice. Explore data through graphs and statistics. Why soft skills matter in effective data science.