Talks & Workshops

Mind the Gap
May 23, 2018
Data Science Career Transitions (Panel)
Mar 22, 2018
How to effectively teach yourself data science (with R)
Feb 10, 2018

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Introduction I am absolutely in love with the Summer of Data Science 2018 (SoDS18), created by Data Science Renee! What better way to start crossing some projects off of my list than making a public declaration of intent, and sharing that process with literally anyone who will listen? To the point My goal is to write a series of functions in R that make the import and wrangling of STAAR data data a (more) manageable task than what I currently do.


We’re going on a learning adventure! This summer we’d like to challenge you to participate in the “Summer of Data Science” Twitter initiative hosted by none other than Data Science Renee! While the Summer of Data Science (SoDS) supports all languages and endeavors related to becoming a (better) data scientist, we wanted to host a space within our R4DS Online Learning Community for our community members to ask questions, provide support, and in general discuss what we’re learning within our chosen text!


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!


Introduction This past March I had the distinct pleasure of participating in a panel about making the career transition to data science as part of Kaggle’s CareerCon 2018. As a result of this experience, I’ve gotten enough emails asking for more information about my data science journey that it warrants a blog post, per David Robinson’s advice: When you’ve written the same code 3 times, write a function When you’ve given the same in-person advice 3 times, write a blog post


(YMMV = your mileage may vary) Introduction Feeling inspired by some recent data science collaborations, on Friday I released the following tweet into the wild: want to build data science experience? reach out to a local non-profit you're interested in, and ask them if you can volunteer with data collection, cleaning, and basic analysis and reporting. you get experience, the NPO gets a product they desperately need, and everyone wins.



Rladies Dallas

R-Ladies Dallas welcomes members of all R proficiency levels, whether you’re a new or aspiring R user, or an experienced R programmer interested in mentoring, networking & expert upskilling. Our non-profit, civil society community is designed to develop our members’ R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community!

Data Science in Education Textbook Collaboration

A text designed to cover both the use of data science in education as well as data science education

Dripping Data and Measuring Minds

A four day summer workshop for HS-aged Girl Scouts focused on learning and applying the principles of data science to water usage at the GSNETX STEM Center of Excellence

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

The Tasty Data Project

The Tasty Data Project is a series of multi-media projects that use small data sets from the world around us to both learn and teach data science with R. The first in the series, The Taco Project, begins filming in April 2018