Why data scientists should write more

Data Scientists should be the professionals with most written documents today This is a bold statement. But we’ll back it up entirely – don’t you worry. Communication skills in Data Science are fundamental. Data Science is the field to follow nowadays. It’s growing, it’s all around us, “there is data all around us”, right? It […]

New year, new Data Scientist? – 2018’s new year’s resolution guide

2018 is here, and with it: new years resolutions! Also: failed new years resolutions Here’s the thing – in this time of year, most people want to try something new. Learn something different and exciting. Challenge themselves. The problem is that most people who make new year’s resolutions fail. They lose interest after a while. […]

Careers in Data Science: What you need to know

Part 1: Getting started As educators, there’s no greater pleasure than in helping our students find their way in data science. A few months ago, we sent out a survey to all of our community members, asking them about their concerns in beginning a data science career. And we received over 1,000 responses! On grouping […]

GGPlot2: Setting vs mapping aesthetics

Many R users are familiar with the ggplot2 package by Hadley Wickham. Though ggplot2 is extremely logical, and therefore easy to learn, there are certain challenges associated with getting your head even around this package. Today we will talk about one of these specific challenges: mapping vs setting aesthetics. Let’s look at an example: library(ggplot2) […]