Executive Development Programme in HR Data & Analytics for Business Impact
-- ViewingNowThe Executive Development Programme in HR Data & Analytics for Business Impact is a certificate course designed to empower HR professionals with data literacy and analytical skills. In today's digital age, businesses rely heavily on data to make informed decisions, and this course bridges the gap between HR and data analytics.
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⢠Introduction to HR Data & Analytics: Understanding the fundamentals of HR data and analytics, including key terms, concepts, and the role of data-driven decision making in HR.
⢠Data Collection and Management: Techniques for collecting, cleaning, and managing HR data to ensure accuracy and reliability.
⢠Data Analysis for HR: An overview of statistical analysis techniques and tools commonly used in HR data analysis.
⢠Visualizing HR Data: Techniques for creating effective visualizations of HR data to communicate insights and tell compelling stories.
⢠Predictive Analytics in HR: An introduction to predictive analytics and its applications in HR, including talent acquisition, talent management, and employee retention.
⢠Ethics and Privacy in HR Data & Analytics: Understanding the ethical and legal considerations surrounding the use of HR data and analytics.
⢠Communicating HR Data Insights: Best practices for communicating data insights to stakeholders, including executives, managers, and employees.
⢠Building an HR Analytics Function: Steps for building an effective HR analytics function, including team structure, role definition, and technology selection.
⢠Case Studies in HR Data & Analytics: Real-world examples of successful HR data and analytics initiatives and their impact on business outcomes.
Note: The above content is written in plain HTML code only, with no extra symbols, headings, descriptions, or links included. The primary keyword for this content is "HR Data & Analytics" and secondary keywords include "data collection", "data management", "data analysis", "visualizing HR data", "predictive analytics", "ethics and privacy", "communicating HR data insights", "building an HR analytics function", and "case studies"
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