Check out this story from Forbes titled, "Salaries Of Data Scientists: Why Google And Salesforce Spent $20 Billion On Self-Service Data Science." The focus of the article is the high salaries that data scientists command and the growing demand for data scientists and predictive analytics professionals.
However, the part that I found most interesting is "Data Science as a Service (DSaaS)." DSaaS "can be defined as UX-focused data analytics programs that surface analytics data to business users’ workflows in order to provide companies with a business-centered approach to Big Data, rather than a complex statistical avenue" (Carter, 2015). This outsourced, self-service approach to data science means less reliance on individuals with deep knowledge of advanced statistical concepts or python/coding in order to analyze "Big Data."
What are the implications of this for the Learning Analytics Program at Teachers College and the Data Science Institute at Columbia University? What skills will grow in importance as the need for data scientists becomes less critical.