Global Certificate Course in Data-driven Teacher Training

• Data Analysis for Educators: Understanding the basics of data analysis and how it can be used in an educational setting. • Data Collection Methods: Exploring various data collection methods, such as surveys, assessments, and observations. • Data Visualization: Learning how to present data in a clear and visually appealing way, using tools such as graphs and charts. • Data-driven Decision Making: Understanding how to use data to inform instructional decisions and improve student outcomes. • Data Privacy and Security: Ensuring the confidentiality and security of student data. • Educational Technology: Utilizing technology tools to collect, analyze, and visualize data. • Evaluation and Assessment: Using data to evaluate student learning and measure the effectiveness of instructional strategies. • Research Methods: Understanding the basics of research design and statistical analysis in an educational context. • Collaboration and Communication: Working with colleagues and stakeholders to share data and make data-driven decisions.