Graduate Certificate in Actionable HR Analytics
-- ViewingNowThe Graduate Certificate in Actionable HR Analytics is a comprehensive course designed to equip learners with essential skills in HR analytics. This program is crucial for professionals seeking to drive data-driven decision-making in their organizations.
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โข Introduction to HR Analytics: Understanding the fundamentals of HR analytics, its importance, and how it can drive data-driven decision-making in organizations.
โข Data Collection and Management: Gathering, cleaning, and organizing HR data for further analysis, including data sources, data integrity, and data security.
โข Statistical Analysis for HR: Basic statistical methods and techniques applicable to HR analytics, such as descriptive and inferential statistics, probability distributions, and hypothesis testing.
โข Predictive Analytics in HR: Utilizing predictive analytics tools and techniques, such as regression analysis, time series analysis, and machine learning algorithms, for HR applications.
โข Visualization and Communication of HR Analytics: Presenting HR analytics findings effectively using data visualization techniques, charts, and graphs, and communicating insights to stakeholders.
โข People Analytics and Talent Management: Applying HR analytics to talent management, including workforce planning, talent acquisition, performance management, and employee development.
โข Compensation and Benefits Analytics: Utilizing HR analytics to optimize compensation and benefits strategies, including pay equity, total rewards, and benefits administration.
โข Diversity, Equity, and Inclusion Analytics: Analyzing HR data to promote diversity, equity, and inclusion in the workplace, including diversity metrics, bias detection, and inclusive hiring practices.
โข Ethics and Legal Considerations in HR Analytics: Understanding the ethical and legal considerations in HR analytics, such as data privacy, confidentiality, and compliance with employment laws and regulations.
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- ProficiencyEnglish
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- ThreeFourHoursPerWeek
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