Gather and manage HR data from demographics, recruitment metrics, performance evaluations, training records, and engagement surveys to inform data-driven decisions while ensuring data quality, privacy, and GDPR-compliant security.
HR People Analytics: Data-Driven HR Decision Making (Kurs)
Employee Metrics, Workforce Planning, Talent Management, Analytics Tools & Ethical Considerations | With Case Studies
Alla nivåer • 46 Föreläsningar • LivstidsåtkomstVerifierad masterinstruktör
Möt din instruktör: Dr. Amar Massoud
19 ms
Vad du kommer att lära dig
Kursinnehåll
13 avsnitt • 46 föreläsningar • 02:46:57 total längdAnalytics Tools and Techniques
Explore analytics tools and techniques for HR analytics, including HRIS and HCM software, data visualization, trend analysis, reporting, basic statistics, and predictive analytics to forecast turnover and guide workforce planning.
Overview of HR analytics Tools and Software
Explore the evolving landscape of HR analytics tools and software, including HR information systems and HCM platforms, with cloud based analytics, predictive modeling, and machine learning for data driven decisions.
Basic Statistics for HR Analytics
Explore how basic statistics support data-driven HR decisions through descriptive and inferential methods, correlation, and probability, including mean, standard deviation, regression, and turnover predictions.
Introduction to predictive analytics in HR
Explore how predictive analytics in HR uses historical data and statistical models to forecast workforce trends, support recruitment, retention, workforce planning, and engagement.
Practical Application and Case Studies
Apply practical people analytics through hands-on exercises with real world HR data and analyze case studies of successful projects to develop a data-driven solution for HR challenges.
Analyzing Case Studies of Successful People Analytics Projects
Explore how IBM, Starbucks, and Deloitte apply people analytics to drive retention, optimize staffing, and leadership development through data-driven insights and predictive models.
Planera din lärresa
AI skapar ett personligt schema baserat på din tillgänglighetKrav
Basic familiarity with HR concepts and terms can be helpful but is not mandatory.
Access to a computer with internet connectivity to utilize online tools and software demonstrated in the course.
An interest in data analysis and willingness to engage with quantitative methods.
HR Professionals: Those already working in human resources who want to incorporate data analytics into their practice to improve decision-making and HR operations.
Managers and Team Leaders: Individuals in leadership roles who seek to understand HR analytics to better manage their teams and support strategic business decisions.
Aspiring HR Analysts: Beginners and students who are considering a career in HR analytics and wish to gain foundational knowledge and skills in this field.
Business Analysts and Data Scientists: Professionals from analytics or technical backgrounds looking to apply their skills in the HR domain and contribute to organizational development strategies.
Om denna kurs
- Introduction to HR analytics tools and software, understanding their applications in daily HR tasks.
- Techniques for measuring and enhancing employee engagement and satisfaction.
- Methods for predicting employee turnover and developing effective retention strategies.
- Practical exercises using real-world data to solve common HR challenges.
Karriärmöjligheter & Målroller
Utveckla praktiska färdigheter och kvalificera dig för efterfrågade roller internationellt
Operations & Business Analyst
Quality Management Auditor (ISO)
Project Operations Lead
Corporate Process Strategist
$75,000 – $120,000 / yr
Steady Enterprise & Corporate Demand
Dr. Amar Massoud
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