About the Course:

This course is designed to equip school leaders with the knowledge and skills necessary to make data-driven decisions that improve student outcomes. Participants will learn how to collect, analyze, and interpret data to inform decision-making, and how to effectively communicate their findings to stakeholders. The course will cover a range of topics, including data collection and analysis methods, data visualization techniques, and best practices for using data to drive school improvement efforts.

Learning Objectives and Outcomes:

By the end of this course, participants will be able to:

• Understand the importance of data-driven decision-making in the school context
• Collect, analyze, and interpret data using various statistical and visualization techniques
• Use data to identify areas for improvement and make informed decisions
• Develop data-driven improvement plans that align with school goals and priorities
• Develop strategies for effectively communicating data to stakeholders
• Communicate data findings to stakeholders, including teachers, parents, and school board members
• Evaluate the effectiveness of data-driven decision-making in improving student and school outcomes

Modules:

The course is divided into the following modules:

Module 1: Introduction to Data-Driven Decision-Making

Module 2: Data Collection and Analysis Methods

Module 3: Data Visualization Techniques

Module 4: Using Data to Drive School Improvement Efforts

Module 5: Communicating Data Findings to Stakeholders

Module 6: Applying Data-Driven Decision-Making Strategies in School Leadership

Target Audience:

This course is designed for school leaders, including principals, assistant principals, and district-level administrators, who are responsible for making decisions that impact student outcomes. The course is also appropriate for educators who are interested in developing their data literacy skills and using data to drive school improvement efforts.