Program Overview

University Program Information

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Program Details

The Data Science of Nonprofit Service Organizations

This course, taught by Barton Poulson, focuses on using data science to address common concerns of nonprofit service organizations. It covers the use of new sources of data, including social media and web analytics, and methods like predictive analytics, machine learning, and data visualization to make organizations more productive and efficient.

Related Classes

• Nonprofit Management Foundations: Taught by Leslie Crutchfield, this course provides a primer on nonprofit management and leadership.
  • Topics covered include leading a nonprofit organization.
• Build with AI: AI-Powered SQL Assistant with Streamlit and OpenAI: Taught by Walter Shields, this course teaches how to build powerful AI-driven SQL assistants.
  • Topics covered include querying databases using natural language instead of complex SQL.
• Learning Everyday Math: Taught by Vince Kotchian, this course explains essential math concepts using real-world problems.
  • Topics covered include math concepts for learners of all levels.
• SAS Essential Training: 2 Regression Analysis for Healthcare Research: Taught by Monika Wahi, this course covers SAS data analytics platform and its features.
  • Topics covered include regression analysis for healthcare research.
• Cleaning, Transforming and Prepping Your Data With Tableau Prep: Taught by Matt Francis, this course focuses on visual data preparation using Tableau Prep.
  • Topics covered include preparing data for visualization.
• DJ Patil: Ask Me Anything: Taught by DJ Patil, this course provides insights into the future, risks, and power of data.
  • Topics covered include the role of data in various fields.
• Cleaning Bad Data in R: Taught by Mike Chapple, this course covers data integrity and cleaning bad data in R.
  • Topics covered include data science revolution and data integrity.
• SQL for Exploratory Data Analysis Essential Training: Taught by Dan Sullivan, this course teaches how to use SQL for understanding data sets.
  • Topics covered include characteristics of data sets for data science and machine learning.
• Data Visualization: A Lesson and Listen Series: Taught by Bill Shander, this series explores key themes in data visualization, data storytelling, and information design.
  • Topics covered include data visualization and storytelling.
• Design Thinking: Data Intelligence: Taught by Randall Elliott, this course covers intelligent machines and processes to leverage data wisely.
  • Topics covered include big data and intelligent machines.
• Excel 2016 for the Mac: Managing and Analyzing Data: Taught by Dennis Taylor, this course focuses on data management and analysis features in Excel 2016.
  • Topics covered include managing large amounts of data.
• Economic Indicators: Taught by Jason Schenker, this course covers economic indicators and their impact on life.
  • Topics covered include job impact and economic indicators.
• Oracle Database 12c: Advanced SQL: Taught by David Yahalom, this course covers mastering SQL for Oracle professionals.
  • Topics covered include essential skills for Oracle professionals.
• SQL for Statistics Essential Training: Taught by Dan Sullivan, this course teaches how to use SQL for descriptive statistics.
  • Topics covered include understanding the overall structure of data.
• Oracle Database 12c: Basic SQL: Taught by David Yahalom, this course covers mastering the SQL language for Oracle professionals.
  • Topics covered include essential skills for Oracle professionals.
• The Data Science of Government and Political Science, with Barton Poulson: Taught by Barton Poulson, this course enhances understanding of government and politics using data science.
  • Topics covered include government and political science.
• Tableau 10: Mastering Calculations: Taught by Curt Frye, this course covers creating powerful calculations in Tableau 10.
  • Topics covered include data analytics and visualization.
• Open Data: Unleashing Hidden Value: Taught by Jonathan Reichental, this course covers making data collected and stored by governments easily available.
  • Topics covered include value and responsibility of open data.
• Tableau 10 Essential Training: Taught by Curt Frye, this course covers the basics of Tableau for data analytics and visualization.
  • Topics covered include drag-and-drop interface and data science.
• Tableau 10 for Data Scientists: Taught by Matt Francis, this course delves deeper into the power of Tableau for data science.
  • Topics covered include data visualization and science.