Introduction to Data Analysis
Make data-driven decisions by exploring decision types in organizational settings, emphasizing quantitative analytics' importance and the role of research quality in effective decision-making
Classes Start Available Anytime
Course Overview
This introductory course prepares professionals and leaders across all fields to make data-driven decisions by exploring various decision types in organizational settings, emphasizing the importance of quantitative analytics and the impact of data quality on decision-making. It provides insights into research applications across sectors and highlights effective quantitative methods and research design strategies to ensure quality and accuracy from a management perspective.
Course Format
This self-paced course offers a dynamic and engaging learning experience, combining interactive elements such as games, flashcards, video content, real-world case studies, and curated readings. Participants have the flexibility to progress at their own pace, while interactive games and quizzes reinforce key concepts and track progress. Participants have 90 days of access per course, with progress tracked through interactive elements. Flashcards, expert-led videos, real-world case studies, and carefully curated readings deepen knowledge.
Price
$375Course Details
Units 0.5 CEUs / 5 PDUs
Location Online Courses
Course Type Self-Paced
What You’ll Learn
After successful completion of this course, you will be able to:
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Explain the value of big data and analytics for decision-making.
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Discuss analytically driven decisions in organizational settings.
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Describe various decision-making models and tools.
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Identify fundamental measurement concepts, including levels, reliability, validity, errors, and biases.
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Explain data management techniques, including data transformation, recoding, handling missing data, and addressing biases in data collection.
Your Instructor
M.S.
Tony Roberts, M.S., has more than 25 years of management experience in the healthcare and consumer electronic markets. His areas of responsibility include new technology development, six sigma lean implementation, international project management, risk management, quality management and high volume manufacturing. Tony teaches certification courses for the University of California - Irvine and the American Society for Quality (ASQ). He has worked with "World-Class" clients such as Boeing, Northrop Grumman, Sprint, Southern California Edison, Ricoh, and Parker Hannifin. His professional certifications include, Lean Six Sigma Master Black Belt, Project Management Professional (PMP), Certified Quality Manager (CQM), and Certified Quality Engineer (CQE).