Getting started with Python in Visual Studio Code

After several years of proscrastinating, the inevitable finally happened: Three months ago, I committed to learning Python! I must say that getting started was not easy. One afternoon three months ago, I sat down, motivated to get started. Obviously, the first step was to download and install Python as well as something to write actual…

Helpful resources for A/B testing

Brandon Rohrer — (former) data scientist at Microsoft, iRobot, and Facebook — asked his network on Twitter and LinkedIn to share their favorite resources on A/B testing. It produced a nice list, which I summarized below. The order is somewhat arbitrary, and somewhat based on my personal appreciation of the resources. Course: A/B-testing by Google…

Free Python Tutorials & Courses, by CourseDuck

CourseDuck founder Michael Kuhlman was nice enough to point me to their overview of curated (&free!) Python courses and tutorials. This overview is curated in the sense that all resources are rated by CourseDuck’s users. These ratings seem quite reliable, at least, I personally enjoyed their top-3 resources sometime the past years: University of Michigan…

Recommended Books on Data Visualization

Data visualization and the (in)effective communication of information are salient topics on this blog. I just love to read and write about best practices related to data visualization (or bad practices), or to explore novel types of complex graphs. However, I am not always online, and I am equally fond of reading about data visualization…

Data Visualization Tools & Resources

There’s this amazing overview of helpful dataviz resources atwww.visualisingdata.com/resources! Browse through hundreds of helpful data visualization tools, programs, and services. All neatly organized by Andy Kirk in categories: data handling, applications, programming, web-based, qualitative, mapping, specialist, and colour. What a great repository! Looking for expert books on data visualization?Have a look at these recommendations!

Learning Functional Programming & purrr

The R for Data Science (R4DS) book by Hadley Wickham is a definite must-read for every R programmer. Amongst others, the power of functional programming is explained in it very well in the chapter on Iteration. I wrote about functional programming before, but I recently re-read the R4DS book section after coming across some new valuable…

New to R? Kickstart your learning and career with these 6 steps!

For newcomers, R code can look like old Egyptian hieroglyphs with its weird operators (%in%,<-,||, or %/%). The R language has been said to have a steep learning curve and although there are many introductory courses and books (see R Resources), it’s hard to decide where to start. Fortunately, I am here to help! The below…

Machine Learning & Deep Learning book

The Deep Learning textbook helps students and practitioners enter the field of machine learning in general and deep learning in particular. Its online version is available online for free whereas a hardcover copy can be ordered here on Amazon. You can click on the topics below to be redirected to the book chapter: Part I: Applied Math…

R resources (free courses, books, tutorials, & cheat sheets)

Help yourself to these free books, tutorials, packages, cheat sheets, and many more materials for R programming. There’s a separate overview for handy R programming tricks. If you have additions, please comment below or contact me! LAST UPDATED: 2019-10-19 Table of Contents (clickable) Beginner Advanced Cheat sheets Data manipulation Data visualization Dashboards & Shiny Markdown…