Fall Workshops 2020 | Workshop #3: Tidyverse: How R Should Be Used

Are you a wanna-be, novice, experienced or senior Data Scientist?
Are you interested in learning new skills in Data Science for free and moving up to the next level? Then here is the event you have been waiting for! DataPhilly continues the monthly series of free hands-on workshops in Data Science.

Schedule:
6:00pm: Welcome and sponsor presentation by Guru
6:15 to 8pm: Workshop

Workshop #3: TIDYVERSE: HOW R SHOULD BE USED (Beginner, R)

R has been rapidly growing as one of the most widely used programming languages for data science in recent years. However, in its most basic form, R is complicated, a bit choppy, and generally doesn’t provide much benefit over its main competitor, Python. Enter Tidyverse, a collection of packages maintained by the R foundation for reading, cleaning, processing, modeling, and visualizing data. In this workshop, we will learn the best practices for coding in the Tidyverse and will come to understand why it is giving Pandas a run for its money. We will cover everything from installing and configuring the latest versions of R and the Tidyverse to building a model on sample data and visualizing the results in a markdown document.

Presenter: Zane Murphy
Zane is a graduate of CIT where Zane specialized in bioinformatic analysis and mathematical methods of sequencing data. Zane’s primary area of focus is on credit and operational risk modeling and management and collections strategy advisement. As a Data Scientist at DecisivEdge, Zane is primarily responsible for creating the theoretical frameworks for new modeling procedures, leading the team in new technology initiatives, and monitoring and maintaining client-side model deployment.

Pre-requisites: Basic knowledge of R, but not required

Downloads: Install R and Tidyverse, Sample Dataset (allow 20 minutes to download instructions beforehand here: https://github.com/zanemurphy/DataPhilly-Tidyverse )

All registered attendees are requested to check email or meetup page before workshop for information on downloading any workbooks or open source software.

THANK YOU to our Event Sponsors:

Elastic - https://www.elastic.co/
Guru - https://www.getguru.com/
HVH/Eversana - https://www.eversana.com/
Promptworks - https://www.promptworks.com/jobs
Slalom Consulting - https://www.slalom.com
Azavea - https://www.azavea.com/
Comoto - https://ridecomoto.com/
Linode - https://www.linode.com/
The Wharton School - https://wrds-www.wharton.upenn.edu