figure - drew conway' data science venn diagram figure - is quite intuitive and easy to interpret basically there are three major components and data science sits at the intersection of them math and statistics knowledge is all about applying various computational and quantitative math and statistical based techniques to extract insights from data hacking skills basically indicate the capability of handlingprocessingmanipulating and wrangling data into easy to understand and analyzable formats substantive expertise is basically the actual real-world domain expertise which is extremely important when you are solving problem because you need to know about various factorsattributesconstraintsand knowledge related to the domain besides your expertise in data and algorithms thus drew rightly points out that machine learning is combination of expertise on data hacking skillsmathand statistical learning methods and for data scienceyou need some level of domain expertise and knowledge along with machine learning you can check out drew' personal insights in his article at science venn diagram besides thiswe also have brendan tierneywho talks about the true nature of data science being multi-disciplinary field with his own depictionas shown in figure -