High-performance data analysis requires applying a variety of tools (spreadsheets, programming languages, web technologies, business intelligence tools, databases, research methods) to three key processes: Formulating good QUESTIONS, performing ANALYSIS, and delivering data PRODUCTS. From that functional core – turning raw data into value-creating products – you have everything you need to begin developing advanced proficiencies like interactive data visualization, AI and deep learning, business industry specialization, and high-performance data systems. When you have developed some experience in all of those proficiencies and a deep expertise in one, you can create compound value as that highly sought-after unicorn – the data scientist.
