Pam Kingpetcharat is an Adjunct Associate Professor of Public Service at NYU’s Robert F. Wagner Graduate School of Public Service. She currently serves as Chief Operating & Financial Officer (COFO) at Achievement Network, a K-12 social enterprise advancing educational equity for students from low-income backgrounds, students of color, and other underserved populations. Formerly the Chief Information Officer of Innovations for Poverty Action, Pam was responsible for developing, overseeing, and implementing IPA’s data management and information technology strategies to further IPA’s mission and increase organizational efficiency. Before joining IPA, Pam served as the Chief Administrative Officer of Human Rights First and then as Uncommon Schools' Senior Director of Data & IT. For five years prior, Pam advised leading multinational corporations, multilateral organizations, and government agencies on ICT policy, strategy and operations management, public finance management and reform, change management, and organizational effectiveness as a strategy consultant and Manager at Dalberg Global Development Advisors. Her work history includes the US Peace Corps, Accenture, Merrill Lynch & Co, and the Federal Reserve Board of Governors. She holds a Master of Public Administration in International Development degree from Harvard University’s John F. Kennedy School of Government and has a B.A. in Economics from Reed College.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.
The course video provides more information.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.
The course video provides more information.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.
The course video provides more information.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to establish a first-principles understanding of the qualitative and quantitative techniques, tools, and processes used to wield data for effective decision-making. Its approach focuses on pragmatic, interactive learning using logical methods, basic tools, and publicly available data to practice extracting insights and building recommendations. It is designed for students with little prior statistical or mathematical training and no prior pre-exposure to statistical software.
The course video provides more information.
The goal of this course is to train advanced students on the principles, practices, and technologies required for good database design, management, and security. An introduction to the concepts and issues relating to data warehousing, governance, administration, security, privacy and alternative database structures will be provided. The course concentrates on building a firm foundation in information organization, storage, management, and security.
The course video provides more information.