Filling your data science backpack: applying statistical models to data with R

• What we'll do
Finding your bearings in data science can be difficult. Often it feels like you've been dropped in the wilderness and are just trying to survive with the contents of your backpack - and you packed all the wrong things.

Our goal as RLadies Dallas is to start helping members fill their "data science backpack" with the skills and content knowledge needed to not only survive as data scientists (who use R), but to thrive as data scientists, no matter the environment.

This will be a collaborative workshop where we outline the data science workflow and practice moving through the workflow using our own data sets and the tidyverse, with a particular focus on applying statistical models to a data set.

Members are encouraged to have read through "OpenIntro Statistics" up to the point that they feel comfortable. That might be the whole text for some members, or half of chapter one for others. There's no judgement or expectation, we just ask that you do your best!

For those comfortable with the majority of the contents, you will be expected to take on leadership roles and mentor those still learning, while those learning should come prepared to ask questions. It's entirely possible that you're a mentor for some chapters, and a learner in others, and that's awesome! The goal is for both learners and mentors to develop a deeper understanding of statistical models and how to apply them to data sets that we use in our research, jobs, and/or hobbies.

*** please note *** we will be discussing whether or not the "OpenIntro Statistics" text is the text we'd like to use for this meetup in our Slack group. If we choose a different text, this posting will be updated to reflect that.

• What to bring
A laptop that can connect to the internet
A data set to work on (if you have one - if not, we will provide examples you can use)
Any food or drinks for personal consumption
Clothing layers - the temperature in the space can fluctuate

• Important to know
OpenIntro Statistics is available for free online here: https://www.openintro.org/stat/textbook.php?stat_book=os

If you need assistance setting up Slack, installing R, installing RStudio or finding a dataset, please email dallas [at] rladies [dot] org and we'll get you squared away!

We know that not everyone lives close by - please coordinate rideshares in our #rideshares channel in Slack. If you cannot attend in person, email dallas [at] rladies [dot] org so we can set up the technology for you to join us via Zoom.