Education

Dataquest

Dataquest has real-world challenges and projects instead of video lectures. 

Coursera

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Degree


Relevant Course Work

Class focused on the philosophy, scope, methods, design values, and ethics of research. Prerequisite: an approved course in statistics.


Focused on application of research methods and techniques to evaluate the implementation of decisions in public organizations. Prerequisite: PAF 501.

Utilized Stata for all calculations and analysis.


Taught the management process in government and public agencies, with emphasis on the executive leadership within the public sector.


This course explored and assessed a leaders’ role in bringing about significant organizational and societal change with special attention on the importance of group and organizational behavior dynamics, establishing a vision, mobilizing and empowering individuals and groups, and assessing outcomes of the change process in a variety of settings. 


Covered concepts, terminology, players, compliance requirements, including doctrine of National Incident Management System per HSPD-5.


This course offered a critical introduction to future -oriented theories and methods. It covered anticipation in contemporary society through a series of cases studies that probe real -world sustainability issues and how the future is created and contested. 


This course focused on developing and evaluating research designs, data collection, and the relationship between validity and reliability, emphasizing methods for conducting research. 



Basic concepts and applications of statistics, including data description, estimation and hypothesis tests.  


Maricopa Community 

Course Certificate


Relevant Course Work

A broad overview of the Microsoft Structured Query Language (SQL) Server database. Includes SQL instruction for data definition, data manipulation, and data retrieval. Develops knowledge and skills required to install SQL Server, model and create new databases, manage users, authentication, and stored procedures, and develop backup/restore strategies. 


Introduction to Python programming. Includes general concepts, program design, development, data types, operators, expressions, flow control, functions, classes, input and output operations, debugging, structured programming, and object-oriented programming. 


Advanced Python object-oriented programming concepts and applications. Emphasis on code documenting, versioning, unit testing strategies, and security practices for Python project/package development. Includes Python applications for data analysis, networking, database manipulation, and web application development. 


Introduction to data analysis concepts using Python's rich set of tools, libraries, and packages. Includes basic data analysis, creation of meaningful data visualizations, and advanced topics such as supervised and unsupervised machine learning techniques.