Teaching – Dan Yavorsky

Graduate

Econometrics

MFE 402 | UCLA

A broad introduction to fundamental econometric models, methods of estimation, and approaches to statistical inference. Implementation in R.

R Workshop

MFE | UCLA

A 3-session introduction to the R software and environment, emphasizing the fundamental data objects and the particularities of the language before branching into topics most relevant for data analysis and statistical computing.

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Marketing Strategy and Policy

EMBA 411 | UCLA

A solid foundation for strategic marketing thinking; an introduction to a series of frameworks and tools that may be used to solve marketing problems.

Marketing Analytics

MGTA 495 | UCSD

A survey of analytic methods -- and a review of the statistical methods required -- to analyze survey data for consumer insights and to inform marketing strategy: A/B testing, Best-Worst Scaling, Conjoint, Key Drivers, Segmentation.

Undergraduate

Customer Analytics

MGT 100 | UCSD

Combine customer data, economic theory, and statistical modeling to improve business decision-making related to segmentation, demand estimation, pricing, branding, and customer aquisition and retention. Implementation in R. Co-created with Prof. Ken Wilbur.

Technology for Business Analytics

MGT 153 | UCSD

Develop proficiency with popular software to execute common analytic techniques and present graphical summaries of data: Excel, Tableau, SQL, R, Python.