Open Source Data Science

University of Illinois

  • currently enrolled in MBA program, expected graduation 2020

University of Alaska

  • Regression and Analysis of Variance (3 credits), STAT 401.
    • simple linear regression, multiple linear regression, error term analysis (constant variance/normality), outliers/outlier influence, variable and model selection, transformations, ANOVA, ANCOVA, fixed effects models (including covariates and blocking variables), pairwise comparisons.

Coursera

  • Data Science Specialization, Johns Hopkins University
  • Managerial Economics and Business Analysis, University of Illinois
    • Exploring and Producing Data for Business Decision Making

Tableau

  • Tableau Desktop Qualified Associate (certification valid through November 2019)
    • study guide
    • skills measured: data connections, organizing and simplifying data, field and chart types, calculations, mapping, analytics, dashboards
  • Tableau Desktop II: Intermediate (course at TC17 conference, Austin Texas)

R

Inspiration

http://datasciencemasters.org/