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Description
HR Analytics Masterclass Overview:
In the era of data-driven decision-making, HR analytics is essential for optimizing workforce management and strategic planning. This course provides a thorough introduction to HR analytics, equipping you with the skills to convert raw data into meaningful insights that drive key HR decisions.
Key Learning Outcomes:
Foundations of HR Analytics: Gain a solid understanding of HR analytics basics, including data types, metrics, and how analytics can support HR strategy. Learn to define and measure key performance indicators (KPIs) aligned with organizational objectives.
Data Collection and Management: Acquire practical skills in collecting and managing HR data from diverse sources such as employee records, performance metrics, and engagement surveys. Learn best practices for maintaining data quality and reliability.
Advanced Analytical Techniques: Dive into sophisticated statistical methods and analytical techniques used in HR analytics. Learn to use predictive analytics, regression analysis, and machine learning to forecast trends, uncover patterns, and make informed predictions.
Effective Data Visualization: Master data visualization techniques to present your findings clearly and effectively. Create engaging dashboards and reports that simplify complex information for various stakeholders.
Talent Acquisition and Retention: Discover how to leverage analytics to enhance recruitment processes, refine talent acquisition strategies, and boost employee retention. Analyze hiring trends, evaluate candidate suitability, and develop strategies to reduce turnover.
Performance and Engagement Analysis: Learn to analyze performance and engagement data to enhance productivity and job satisfaction. Develop targeted interventions and programs to address performance challenges and improve workplace culture.
Ethical Considerations and Best Practices: Explore the ethical dimensions of HR analytics, including privacy concerns and compliance issues. Learn best practices for ensuring transparency and fairness in data use.
Course Format:
The course includes interactive lectures, practical exercises, and real-world case studies. You'll use industry-standard tools and software to apply analytical methods to actual HR scenarios, with expert guidance from seasoned HR analytics professionals.
Who Should Enroll:
- HR Professionals aiming to strengthen their data-driven decision-making skills.
- Data Analysts and Business Intelligence specialists interested in HR analytics.
- HR Managers and Directors looking to use analytics for strategic planning.
- Anyone interested in integrating human resources with data science.
Prerequisites:
Basic knowledge of HR practices and familiarity with spreadsheet software such as Excel is recommended. No prior data analysis experience is required.
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UNOCUE Masterclass
Introduction To HR Analytics
Know your Instructor
Aswath
Aswath Damodaran teaches corporate finance and valuation at the Stern School of Business at New York University. He is a teacher first, who also loves untangling the puzzles of corporate finance and valuation and writing about his experiences. As a result, he is at the intersection of three businesses: education, publishing, and financial services, all of which are large, inefficiently run, and deserve to be disrupted. While he may not have the power to change the status quo in any of these industries, he aims to stir the pot, and his website is his attempt to do so
