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The "HR Analytics using MS Excel for Human Resource Management" course offers a comprehensive guide for learners to harness the power of Excel in HR-related data analysis. It begins with an introduction to HR analytics, covering the foundational concepts of data analytics and the resources required to track and interpret HR metrics. The course then delves into essential Excel formulas, mathematical, textual, logical, and lookup functions, data tools, and date-time operations necessary for performing sophisticated HR data analysis.
By exploring various HR metrics, such as staffing, training, performance, and other key areas, learners can understand how to measure and improve HR functions. The course includes practical case studies, allowing students to apply their knowledge to real-world scenarios. Moreover, it teaches how to create intuitive HR charts and dashboards, including the use of Excel's charting tools and the new Maps chart feature for geographical data representation.
With lessons on pivot tables, data formatting, and advanced Excel functions, the course enables learners to efficiently manage and present HR data. Overall, it empowers HR professionals with the skills to make data-driven decisions and enhances their ability to contribute to strategic business outcomes.
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4-Hour Sessions
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Classroom Training price is on request
♱ Excluding VAT/GST
Classroom Training price is on request
Here are the minimum required prerequisites for successfully undertaking the HR Analytics using MS Excel for Human Resource Management course:
This course is designed to be accessible for individuals with a foundational knowledge of Excel and Human Resources. No advanced skills in either area are required to begin. The aim is to equip learners with the necessary tools and insights to apply HR analytics in their respective roles.
The HR Analytics using MS Excel course equips HR professionals with data-driven decision-making skills.
Gain proficiency in HR analytics using MS Excel and learn to create insightful HR dashboards, interpret key metrics, and make data-driven decisions in human resource management.