Global Certificate in Education Data Analytics Innovation
-- ViewingNowThe Global Certificate in Education Data Analytics Innovation is a comprehensive course designed to meet the skyrocketing industry demand for data-driven decision-making in education. This course empowers learners with essential skills to collect, analyze, and interpret education data for data-informed innovation.
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⢠Introduction to Education Data Analytics – covering the basics of education data analytics, its importance, and how it can be used to improve educational outcomes.
⢠Data Collection – focusing on various methods to collect data in an educational setting, including surveys, assessments, and administrative records.
⢠Data Cleaning – discussing the importance of cleaning and preparing data for analysis, including handling missing data and outliers.
⢠Data Analysis Techniques – introducing various statistical and machine learning techniques for analyzing education data, including regression analysis, clustering, and natural language processing.
⢠Visualization of Education Data – covering best practices for visualizing education data, including the use of charts, graphs, and dashboards.
⢠Predictive Analytics in Education – discussing how predictive analytics can be used to identify students at risk of dropping out, predict future performance, and personalize learning.
⢠Ethical Considerations in Education Data Analytics – exploring the ethical implications of education data analytics, including data privacy, bias, and transparency.
⢠Implementing Education Data Analytics – providing guidance on how to implement education data analytics in practice, including selecting the right tools, building a data-driven culture, and ensuring data security.
⢠Evaluation of Education Data Analytics Initiatives – discussing how to evaluate the effectiveness of education data analytics initiatives, including setting goals, measuring outcomes, and iterating on strategies.
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