Full Name
Deanne Larson
Job Title
President
Company
Larson & Associates
Bio
Deanne Larson, Ph.D., is an active data science practitioner and academic. Her research has focused on enterprise data strategy, agile analytics, and data science best practices. She holds Project Management Professional (PMP), Project Management Agile Certified Practitioner (PMI-ACP), Certified Business Intelligence Professional (CBIP), and Six Sigma certifications. Deanne attended AT&T Executive Training at the Harvard Business School focusing on IT leadership, Stanford University focusing on data science, and New York University focusing on business analytics. She has presented at multiple conferences including TDWI, TDWI Europe, IRM UK, PMI, and other academic conferences. She is Principal Faculty at City University of Seattle, has consulted for several Fortune 500 companies, and has authored multiple research articles on data science methodology and best practices.
Speaking At
ADMIN ONLY Course - On Demand
Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
Data Storytelling for Business Impact
DataOps: Best Practices for Agile Data Management
MLOps: Best Practices for Delivering and Managing Machine Learning
Data Storytelling for Business Impact
Data Science Bootcamp // An Overview of Data Science and Principles for Data Preparation
Data Science Bootcamp // Building Analytic Models and Communicating Results
Data Governance Bootcamp // TDWI Data Governance Principles and Practices: Managing Data as an Asset
Data Governance Bootcamp // TDWI Data Quality Management: Techniques for Data Profiling, Assessment, and Improvement
Data Storytelling for Business Impact
DataOps: Best Practices for Agile Data Management
MLOps: Best Practices for Delivering and Managing Machine Learning
Data Storytelling for Business Impact
Data Science Bootcamp // An Overview of Data Science and Principles for Data Preparation
Data Science Bootcamp // Building Analytic Models and Communicating Results
