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Showing 151–175 of 257 items
Explore survey design methods, data collection modes, and their effects on data quality, bias, and error tradeoffs.
Deepen your knowledge of stock and bond valuation, growth dynamics, and financial risk through real-world applications.
Evaluate generative AI tools using ethical frameworks, focusing on sustainability, bias, and responsible use in creative work.
Master techniques to spark engaging conversations and presentations with memorable, persuasive surprises.
Develop skills to give and receive feedback across hierarchies, improving communication in structured settings.
Learn how to assess and improve data quality before analysis using the Total Data Quality framework.
Build strong feedback skills to enhance personal growth and improve your relationships at work and beyond.
Learn R programming and core data analytics skills by analyzing real public sector datasets using tidyverse and dplyr libraries.
Learn computational thinking to solve real-world problems using decomposition, pattern recognition, algorithms, and evaluation—no programming background required.
Explore how PostgreSQL handles full-text search, JSON data, and inverted indexing for advanced natural language processing.
Examine the historical roots of racial health inequities in the U.S. and explore systems that impact access to care.
Explore the fundamentals of bonds and stocks, their pricing, and how investors make decisions using time value of money.
Explore leadership for diversity and inclusion in higher education and propose strategic change based on institutional analysis.
Gain a foundational understanding of the finite element method and learn how to code solutions for real-world physical problems.
Master the full cycle of talent management—recruiting, performance evaluation, coaching, and development—to build strong, future-ready teams.
Build immersive XR experiences using WebXR, Unity, and Unreal, and learn to manage technical development and project planning.
Understand how social, economic, and political factors impact population health and contribute to health disparities in the U.S.
Apply machine learning techniques in Python to build, validate, and optimize predictive models using scikit-learn.
Build confidence in inferential statistics using Python to estimate population values and test hypotheses with real-world data.
Develop a networking mindset and learn practical strategies to cultivate relationships for personal growth and career advancement.
Discover how to build poise in presentations by making deliberate choices that improve clarity and connection.
Gain hands-on training in critical nursing interventions like airway management, wound care, and obstetrical emergency response.
Learn how to lead through AI-driven change by building adaptable, people-focused environments that support innovation and resilience.
Explore how scientific data is interpreted, reported, and communicated, with a focus on critical thinking and research literacy.
Understand healthcare accounting basics including costs, reimbursements, and financial decision-making to support healthcare operations.
