During this 21 day challenge, I learned about important data vocabulary, data careers, data cleaning, descriptive analytics/statistics, data visualization, how to make graphs, create maps, compile a dashboard, present and deliver insight, intro to Tableau, SQL, Python data wrangling and visualization, projects, and more! Each day, we were tasked with a new mini-lesson and challenge, which encouraged me to learn and share something on LinkedIn. We used a real data set, which contained 110,000+ rows of data from crime that occurred in New York City.

In the span of about a month, from July 31st to August 28th, I went from having 20 to 238 total connections, primarily in fields of data analysis or those pursuing data science. I used Tableau to tell the story of this LinkedIn data!

In 2012-13, the state began reporting on EVAAS data, using it as an accountability model to determine teacher effectiveness and school performance. Part of this EVAAS accountability model is School Performance Scores. "A" through "F" letter grades are assigned to all public schools in the state of North Carolina. This project analyzes trends in NC 21-22 data and proposes how this data could be used to inform decision making.