DataScience

Welcome to the Tidyverse. Hadley Wickham lecture at Notre Dame University

During my research visit at Notre Dame University I had the pleasure to participate in Hadley Wickham’s lecture Welcome to the Tidyverse and meet Hadley in person. Hadley’s talks are always well-structured and worth listening.

Hadley Wickham has been a prime mover in releasing R upon the masses, enabling hordes of unsuspecting would-be researchers to process and visualize data in ways they never dreamed of. The tidyverse, the culmination of years of effort in the R language, is a universe of packages that facilitate a grammar of data, graphics, and modeling that allows even beginners to speak the language of data science fluently.

My Data Science & Programming Skills & Tools

Here is a selection of my Data Science and Programming skills and tools that turned out to be helpful in my work and I believe are important for any Data Scientist as well. The last update of this post was done: 2018-01-24. Data Science Skills Data Manipulation

Efficient data manipulation in R; dplyr, data.table, reshape2. Working with dates and time-series; lubridate, xts.

Reproducible Analyses

RStudio IDE, Markdown, LaTeX;

Resources: Programming & Data Science in R

This post is an annotated bibliography of helpful resources for programming and doing Data Science in R. I will try to expand this list and add some short recommendations in the future. The last update of this post was done: 2018-01-24. Books (on-line & printed) Hadley Wickham, Advanced R The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as it explains some of R’s quirks and shows how some parts that seem horrible do have a positive side.