MB 6100 - Statistical Thinking and Data Analytics

• Create a plan that ensures a high degree of transparency in the reporting of local measures against standards and benchmarks
• Compare current performance to benchmarks and identify gaps
• Utilize data from organization performance monitoring systems to improve student achievement
• Create a plan that ensures a high degree of transparency in the reporting of local measures against standards and benchmarks
• Compare current performance to benchmarks and identify gaps
• Utilize data from organization performance monitoring systems to improve student achievement
• Demonstrate how statistics and analytics can be used to identify patterns and analyze problems
• Determine root cause of a problem and identify the data needed to help understand and address it
• Apply methods of descriptive inferential, predictive and evaluative statistics to support decision-making and problem resolution
• Using existing data sources, extract data and convert it into a useful format to support decision-making and goal achievement
• Identify tools and techniques that support the aggregation and disaggregation of organization performance data to support decision-making on multiple levels
• Identify data sources and evaluate data quality
• Using existing data sources, extract data and convert it into a useful format to support decision-making and goal achievement
• Identify tools and techniques that support the aggregation and dis-aggregation of organization performance data to support decision-making on multiple levels
• Identify data sources and evaluate data quality
• Apply multiple techniques to analyze and define the root cause of a problem
• Assist others in developing a “statistical thinking” mindset and incorporating data analysis in appropriate tasks
• Make sound decisions and exercise good judgment under conditions of uncertainty
• Identify methods for reducing uncertainty and making effective decisions under uncertainty
• Given a scenario, describe the risks to an organization and ways to minimize or mitigate risk

• None

• No course topics appended