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.
7,649+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
关于这门课程
100%在线
随时随地学习
可分享的证书
添加到您的LinkedIn个人资料
2个月完成
每周2-3小时
随时开始
无等待期
课程详情
• 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.
职业道路
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
为什么人们选择我们作为职业发展
正在加载评论...
常见问题
获取课程信息
获得职业证书
