Introduction to Advancement Analytics Using R-Recording

Video Transcription

Video Summary

The video is a comprehensive session on leveraging R and associated technologies for data analysis and visualization in advancement settings. The speakers, Nick Campisi, Director of Data Science with CASE, and Stephan Bird Kruger, CEO of PTKO, delve into the importance of a strategic approach to data usage. They emphasize understanding both the broader and localized strategies for deploying data, stressing the significance of data-driven decision-making and organizational impact.<br /><br />The session explores R's capabilities, highlighting its open-source nature, flexibility, and community support. R, alongside RStudio, facilitates statistical computing and graphics, allowing users to create dynamic reports and dashboards. They illustrate how to import data from various sources into R, such as Excel and SQL databases, and employ tidyverse packages for data cleaning and visualization.<br /><br />Additionally, the discussion covers the integration of AI tools, emphasizing safety and strategic usage within institutional contexts. The speakers advocate for using AI to enhance skills and decision-making, cautioning against over-reliance without human oversight.<br /><br />Practical demonstrations in the presentation include setting up R, loading data, and generating visualizations with ggplot2 and Plotly for interactive dashboards. They also mention advanced techniques such as cluster analysis and forecasting.<br /><br />The session encourages attendees to strategically harness data tools to advance organizational goals, advocating for continuous learning and using advanced analytics to drive impactful decision-making. Several resources are recommended for further exploration, fostering skill development and understanding within data science and advancement analytics.

Keywords

R programming

data analysis

visualization

strategic data usage

data-driven decision-making

RStudio

open-source

tidyverse

AI integration

ggplot2

Plotly

cluster analysis

forecasting

advanced analytics

organizational impact