Google provides to the public a whole range of data sources (Google trends, Google correlate, shopping insights), analytic tools (Google analytics, tensor flow, and external R packages), and survey tool (google consumer survey). In this talk I will showcase how we can use them to build models to explore insights and causal relationship in various social science topics in many different fields.
Leveraging Google Data Tools for Social Science Studies
Qing Wu works on business intelligence, quantitative analysis in on-line advertising, revenue forecast and management, user/advertiser behavior modeling, and macroeconomics for Google. His specialties include internet data mining, financial forecast, macroeconomics, econometrics, supply chain and demand chain management.