I recently recorded my very first (much too lengthy) YouTube video. The video walks through taking a list of keywords and creating a word cloud in R.
While I do not find word clouds to be particularly useful, there are a number of terrific data science applications that you come across during this exercise that are worth knowing — like removing stop words and stemming.
Hosted by Tim Wilson and Michael Helbling, this podcast focuses on a number of digital analytics topics including anything from R to what the future digital marketing analyst will look like from a skills perspective.
I just started listening to this one and I love it. Many of the episodes are very short (about 15 minutes), so it’s very digestible. There’s a wide range of very relevant topics from a refresher on p-values and t-tests to neuroscience. I really like how they episodes only last as long as they need to be and how they break down seemingly complex topics into something everyone can grasp.
This one is less about understanding data/analytics and more about findings the team over at 538 has made. If you’re reading this, you most likely are already familiar with the 538 blog, where topics are generally focused on politics and sports.
Any good recommendations out there I missed? Let me know in the comments. Thanks!
In August of 2015 I created Four Zero Two, a Husker data blog. The site was created as somewhat of a playground for me to explore a number of things related to data analytics including creating and manipulating a database, pulling information from the database, analyzing data and data visualization.
This is done through a number of languages, tools and software including (but not limited to) SQL, WordPress plugins, cPanel, R, R Studio, Excel and Tableau.
Throughout this journey, I will do my best to identify and share which of these tools are most useful and their best applications.