How To Use Open Source Tools For Cost-Free Analysis: CSV, Python and Anaconda along with simple analysis techniques.
10:15 AM - 11:15 AM CT
Speaker(s): David Allyn, Director of Business Intelligence & Data Quality, University of California, Los Angeles
Competencies: Industry or Sector Expertise
Elective Session
Ever wanted to do complex analysis for free?? There are a lot of fancy tools out there that organize data, analyze, visualize and predict - but they all cost valuable financial resources.
In this session we will review and introduce the various tools that methods available that will allow you to conduct complex analysis and visualizations on your own. We will explore Anaconda, Spyder, Python, Pandas DataFrame, and Plotly data visualizations.
We will review simple Python scripts, analyze data quality of our CSV & Excel files, analyze metrics of the constituents; visualize constituent location; analyze philanthropy; and complete simple predictions.