Course Overview

This course introduces the different types of decisions made in an organizational setting, why quantitative analytics is important, and how data quality can affect decision-making. Since quantitative analytics is used in various settings, this introductory-level course offers insight into how research is used in different sectors. Plus, from a management perspective, you’ll learn about appropriate quantitative methods and ways to ensure quality and accuracy through research design.

Skill Level: Beginner

What You’ll Learn

• Discover different decision-making models and tools.
• Learn about the fundamental concepts of measurement, including levels of measurement, reliability and validity, errors, measurement and information bias.
• Understand methods of ensuring the quality of data.
• Learn data management techniques, including transforming, recoding and handling missing data.
• Identify some biases and errors data collection may be subject to.
• Know how to distinguish between correlation and causation.

Skills You’ll Gain

Data Analysis Modeling Bias Identification Data Repair