Professional Certificate in Higher Ed Data Analysis: Analytical Skills
-- ViewingNowThe Professional Certificate in Higher Ed Data Analysis: Analytical Skills is a vital course designed to equip learners with essential data analysis skills demanded by the higher education industry. This program focuses on harnessing the power of data to drive decision-making and improve educational outcomes.
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⢠Data Collection Techniques: Understanding various data collection methods, such as surveys, interviews, and observation, and how to choose the most appropriate method for a given research question.
⢠Data Cleaning and Preparation: Techniques for cleaning and preparing data for analysis, including handling missing data, outliers, and incorrect data entries.
⢠Data Analysis Tools and Techniques: Introduction to statistical analysis tools and techniques, such as descriptive statistics, inferential statistics, and hypothesis testing.
⢠Data Visualization: Techniques for visualizing data, including creating charts, graphs, and other visual representations of data to communicate research findings effectively.
⢠Predictive Modeling: Overview of predictive modeling techniques, such as regression analysis and machine learning algorithms, and how to apply these techniques to higher education data.
⢠Ethical Considerations in Data Analysis: Examination of ethical considerations in data analysis, including data privacy, confidentiality, and informed consent.
⢠Data Interpretation and Communication: Techniques for interpreting and communicating data analysis results, including writing research reports and presenting findings to stakeholders.
⢠Data Management and Security: Best practices for managing and securing data, including data storage, backup, and access controls.
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