• Python, R, C++

  • Linux/Unix, Git

  • SQL, LaTeX, Markdown

  • RMarkdown, Quarto

Libraries

  • Python libraries: scikit-learn, keras, pandas, numpy, tensorflow, statsmodels, cython, etc.

  • R libraries: tidyverse (ggplot2, tidyr, recipes, tinymodels, etc.), caret, data.table, Shiny, batchtools, Rcpp, RcppArmadillo, cpp11, etc.

  • C++ libraries: Eigen, Armadillo, etc.

Integrated development environments

  • VS code, R Studio.
  • Statistics and Machine Learning: nonparametric regression(LASSO, ridge, trend filtering, etc.), support vector machines, XGBoost, random forests, etc.
  • Deep Learning: recurrent neural networks (RNNs), convolutional neural networks (CNNs), generative adversarial networks (GANs), etc.

Topic-specific Certificates

Other Certificates