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Statistics = Science(Data) + Art(Intuition)

Data Science Workshop

The online tutorials are sponsored by American Statistical Association(ASA) Statistics in Marketing Section
  • 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], [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], [Slides], [Rcode1], [Rcode2]
  • 2016-06-02: 数据分析一般流程和数据预处理, [YouTube], [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
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