Statistics = Science(Data) + Art(Intuition)
Data Science Workshop
The online tutorials are sponsored by American Statistical Association(ASA) Statistics in Marketing Section . This website is deployed through Netlify.2018-09-06: Bayesian Nonparametric Customer Base Analysis, [YouTube], [Paper] 2018-08-16: Extracting Brand Image Portrayed on Social Media, [YouTube], [Paper] 2018-07-19: Optimal Product Design by Sequential Experiments, [YouTube], [Paper] 2018-04-26: Randomization for Units in Networked Experiments, [YouTube] 2018-04-12: A Bayesian Approach to Optimal Pricing Using Business Rules, [YouTube] 2017-12-14: A Flexible Method for Protecting Marketing Data, [YouTube], [Paper] 2017-10-24: Customer Analytics in a Multichannel World, [YouTube], [Slides] 2017-08-29: Customer Preference for (Un)biased News, [YouTube], [Paper] 2017-07-24: Customer-Based Corporate Valuation, [YouTube], [Slides] 2017-06-26: New packages in R Markdown ecosystem, [YouTube], [Slides] 2017-04-24: Big Data Cloud Platform in Industry, [YouTube], [Slides] 2017-03-28: Unlock Unstructured Social Media Data in Marketing, [YouTube], [Slides] 2017-02-28: Putting Big Data & Analytics to Work!, [YouTube], [Slides] 2016-08-10: An Introduction to Causal Mediation Analysis, [YouTube], [Slides] 2016-07-21: 用R进行市场调查和消费者感知分析, [YouTube], [雪晴数据网], [Slides], [Rcode] 2016-07-14: R for Marketing Research and Analytics, [YouTube], [Slides] 2016-06-08: 数据整合和辅助建模技术（1）, [YouTube], [雪晴数据网], [Slides], [Rcode1], [Rcode2] 2016-06-02: 数据分析一般流程和数据预处理, [YouTube], [雪晴数据网], [Slides], [Rcode] 2016-05-26: Shiny Tutorial, [YouTube], [Slides] 2016-04-28: R package regtools and mystery of p-value, [YouTube], [Slides] 2016-03-23: A Brief Intro to Deep Learning, [YouTube], [Slides] 2016-03-23: Deep Learning in R with MXNet, [YouTube], [Slides] 2016-01-21: Applied Predictive Modeling, [YouTube] 2015-11-02: Data Pre-processing Using R & Introduction to R packages: corrgram, lucid 2015-07-14: The Ecosystem of R Markdown About Sponsors
The mission of ASA Statistics in Marketing Section is to foster the development and application of innovative statistic methodologies for the resolution of substantive decisions problems in marketing. The scope includes theoretical, methodological, empirical and applied research oriented toward the practice of marketing. The section encourages the cooperation between academics and marketing managers to advance statistical science in marketing and stimulate research. Join ASA Statistics in Marketing here!
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