Certificate in Data & Decisions for EdTech
-- ViewingNowThe Certificate in Data & Decisions for EdTech is a comprehensive program designed to empower educators and edtech professionals with essential data skills for impactful decision-making. In an era where data-driven insights shape education strategies, this course is increasingly important.
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โข <data-analysis-techniques>: Covering fundamental data analysis methods and tools, this unit will provide a strong foundation for making informed decisions in the EdTech industry.
โข <statistical-modeling>: Students will learn how to create and interpret statistical models to predict outcomes and trends in educational technology.
โข <data-visualization>: This unit will focus on best practices for data visualization, enabling professionals to effectively communicate complex data insights to stakeholders.
โข <machine-learning-basics>: An introduction to machine learning algorithms, their applications, and their role in data-driven decision making for EdTech.
โข <data-ethics>: Emphasizing the importance of ethical considerations, this unit will explore data privacy, security, and bias in the context of EdTech.
โข <research-design-and-methodologies>: This unit will cover various research methods and design principles used in EdTech to ensure valid and reliable results.
โข <big-data-and-analytics>: Students will learn how to work with large datasets and discover actionable insights through advanced analytics techniques.
โข <predictive-analytics-for-student-success>: This unit will focus on the application of predictive analytics to improve student outcomes and retention in EdTech.
โข <experimental-design-and-A-B-testing>: Professionals will master the art of designing experiments and conducting A/B tests to optimize EdTech products and services.
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