Programmierung und Entwicklung

Data Science, ML/AI, Math: R, Python, SAS, Wolfram Mathematica, Matlab

  • R Bibliotheken: data.table, tidyverse (dplyr, ggplot2, tidyr, purrr), hmisc, lme4/nlme, glmnet, sandwich, lmtest, survival, car, rpart, randomForest, e1071, caret, xts, zoo, rmarkdown, shiny, testthat und andere
  • Python Bibliotheken: numpy, scipy, pandas, statsmodels, sklearn, matplotlib, seaborn, keras, flask, selenium, beautifulsoap, pytest und andere 
  • SAS Module: Base, STAT, GRAPH, OR, QC, ETS, IML, SAS Enterprise Guide, SAS Enterprise Miner, SAS Business Intelligence Server

Internet und Frameworks: Shiny, HTML, CSS, JavaScript, Python (Flask, Selenium, BeautifulSoap)

Version Control: Git, GitHub

Automated Testing und CI/CD: PyTest, testthat

Andere: Stripe (E-Commerce), Postman (API), Google Analytics, WordPress