Certified Professional in Maximizing Educational Outcomes with Analytics
-- ViewingNowThe Certified Professional in Maximizing Educational Outcomes with Analytics course is a comprehensive program designed to equip learners with essential skills in educational data analysis. This course is crucial in today's data-driven world, where educational institutions are increasingly relying on data to make informed decisions.
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完了まで2ヶ月
週2-3時間
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コース詳細
• Data-Driven Decision Making: Understanding the fundamentals of data-driven decision making in education, including data collection, analysis, and interpretation.
• Predictive Analytics: Exploring the role of predictive analytics in education, including regression analysis, machine learning, and forecasting models.
• Learning Analytics: Examining the use of learning analytics to improve student outcomes, including learning analytics dashboards, learning analytics interventions, and learning analytics applications.
• Data Visualization: Learning how to effectively communicate data insights through data visualization, including chart types, data storytelling, and data visualization best practices.
• Ethical Considerations: Understanding the ethical considerations of using data in education, including data privacy, data security, and data bias.
• Data Integration: Exploring the challenges and opportunities of integrating data from multiple sources, including data integration tools, data integration techniques, and data integration best practices.
• Data Management: Learning how to effectively manage data in education, including data quality, data governance, and data management best practices.
• Data-Informed Curriculum Design: Examining the role of data in curriculum design, including data-informed curriculum decisions, data-informed instructional strategies, and data-informed assessment.
• Data-Driven Professional Development: Understanding the role of data in professional development, including data-driven professional learning communities, data-driven instructional coaching, and data-driven professional growth plans.
キャリアパス
入学要件
- 主題の基本的な理解
- 英語の習熟度
- コンピューターとインターネットアクセス
- 基本的なコンピュータースキル
- コース完了への献身
事前の正式な資格は不要。アクセシビリティのために設計されたコース。
コース状況
このコースは、キャリア開発のための実用的な知識とスキルを提供します。それは：
- 認可された機関によって認定されていない
- 認可された機関によって規制されていない
- 正式な資格の補完
コースを正常に完了すると、修了証明書を受け取ります。
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