You love R and you want your colleagues to love R too. In our latest post we will walk you through seven tips and tricks for hosting a successful R demo at your company that will really impress your colleagues.
You can read the full post at 7 Tips For Getting Your Colleagues Hooked on R. Have more tips? We’d love to hear them!
One: Pitch them R
Start with the basics – R is a powerful, open-source statistical programming language that can be used to gather, manipulate and visualize data. Next, do some name dropping: it is used by companies like Google, Facebook, Uber, Airbnb, the New York Times, and many more. Finally, tell them about the growing popularity of R and don’t forget to mention the salary salary bump 🙂
Two: Get them set up with RStudio
Show your colleagues what R looks like in action using RStudio. Take some time to explain to your audience what they are looking at so that they develop an understanding of how the RStudio IDE works. Of course, you can also assign them a bit of homework. Luckily, there are many free Intro to R tutorials (like this one).
Three: Pick a cool dataset
If you really want to gain your audience’s attention, have a cool dataset prepared. Despite how convenient they are, the `mtcars` and `iris` dataset are overdone and often not relevant to your internal audience. Pick something they will relate to. Try Quandl, Data.gov, Kaggle, and this list, Awesome Public Datasets, curated by caesar0301 for some inspiration. And by all means, if you are pitching to a group of auto enthusiasts go ahead and use the `mtcars` dataset.
Four: Walk through every step of the data science process
It is important that you walk your audience through every step of the data science process. Yes, that means you won’t have time to dive into the particulars behind each step and that’s okay. In order to convince them the power of R, you need to show them that it can be used at every level of the data science workflow including importing data, cleaning data, manipulating data, performing statistical analysis, and data visualization.
Five: Show them how R works with tools they already know
People can get easily overwhelmed when you try to introduce a new tool to their workflow. An easy way to help overcome this is by showing them how R can work in an environment they are already familiar with. Maybe you are trying to switch them from a commercial software like SAS, SPSS, or STATA? If so, show them how easy it is to import, export, and manipulate these types of files with R. Here’s an entire course that can help walk them through importing different file types.
Six: Test your script before your talk
Many R workshops have been spoiled by poor planning. A great talk can be ruined by a library that doesn’t want to load or a syntax error hidden out of sight. Don’t let this happen to you! Remember your goal is to convince your audience about the power of R. If your presentation is filled with errors, library issues, and other problems it won’t be very convincing.
Seven: Give them a roadmap
Congratulations! Your presentation is done. So your job is done, right? Wrong. Your newly inspired audience will wander back to their desks, look up R resources online and be flooded with a massive amount of tutorials, blog posts, and learning resources – some better than others. Designing a learning path for your audience is key to getting them engaged and motivated in learning R!
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