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
  • The Data Scientist’s Toolbox (certificate)
  • R Programming (certificate)
  • Exploratory Data Analysis (certificate)
• 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

• swirl course repository
• dplyr, lubridate, tidyr
  • tidy data paper
  • data wrangling cheat sheet

Inspiration

http://datasciencemasters.org/