Learning

R4DS May Challenge: sign up for office hours!

Introduction May is here and it’s time to get back to our roots by revisiting the R for Data Science text as well as introduce materials to help you - yes you - get comfortable with GitHub. Sure, we could do something similar to the first iteration of our online learning community and say we’re going to cover a specified amount of material each week, but instead we’re going to try something new!

R4DS Online Learning Community

The ‘R for Data Science’ online learning community is a dynamic and supportive environment that brings together mentors and learners as they undertake self-paced learning via the ‘R for Data Science’ text

GIF it, GIF it real good

We’re going to walk through the basics of posting GIFs on your blogdown website using imgur and GIPHY. Introduction Blogdown is an amazing tool for - wait for it - blogging. I recently made the jump to blogdown, and after working out all of my self-inflicted initial “OMG what happened now?!” issues, blogdown has become part of my daily workflow. I’m still playing with formatting issues (evidence below) but on the whole things are coming together nicely.

Learning to Learn

Background It took me eight years to finish my undergraduate degree, not because I took a lot of time off to volunteer or travel the world, but because I dropped out twice (twice!) due to never having learned to learn in my K-12 days. Looking at my academic performance in high school, I wasn’t the kid you would think would struggle with college. But if you scratched beneath the surface of the good grades, you’d see a student who put in very little effort beyond generally paying attention in class and completing homework assignments.

Want to work with Data? Don’t wait.

Data is everywhere, and it seems you can’t go more than 48 hours without hearing how data scientists are going to rule the world–if only we can train enough of them. The thing is, you don’t need to wait until after you get that Master’s (or PhD) in Data Science, or even until complete that online course that cost you several thousand dollars. You can start working with data now, and depending on your interests, skills, and commitment to learning, be job-ready in six months to a year.