Professional Certificate in Analytics in Talent Management

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The Professional Certificate in Analytics in Talent Management is a career-advancing course that equips learners with essential skills to excel in the HR field. This program emphasizes the importance of data-driven decision-making in talent management, addressing industry's growing demand for analytics-savvy HR professionals.

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Throughout the course, learners will master critical skills in data analysis, interpretation, and visualization, empowering them to make strategic recommendations for workforce optimization and talent development. The curriculum includes topics such as predictive analytics, employee engagement, and people analytics, providing a comprehensive understanding of the modern HR landscape. By earning this Professional Certificate, learners demonstrate their commitment to staying updated on industry best practices and leveraging data-driven insights to drive business success. This distinction not only sets them apart from their peers but also opens doors to new career opportunities and promotions within their organizations, ensuring their continued growth and development in the field.

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โ€ข Foundations of Analytics in Talent Management: Understanding the basics of data-driven decision making, people analytics, and the role of analytics in talent management.

โ€ข Data Collection and Management: Techniques for gathering, cleaning, and organizing data for talent management analytics.

โ€ข Data Visualization and Reporting: Techniques for presenting data in a clear and actionable way, including data visualization best practices and reporting standards.

โ€ข Predictive Analytics in Talent Management: Using statistical models and machine learning algorithms to predict future talent management outcomes.

โ€ข Talent Management Metrics and KPIs: Identifying and tracking key performance indicators in talent management, including turnover, engagement, and diversity metrics.

โ€ข Ethics and Bias in Analytics: Understanding the ethical considerations of people analytics, including data privacy and avoiding bias in algorithms and decision making.

โ€ข Change Management and Implementation: Strategies for implementing data-driven changes in talent management, including communication, training, and change management best practices.

โ€ข Advanced Analytics in Talent Management: Exploring advanced analytics techniques, including natural language processing and sentiment analysis, for talent management applications.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
PROFESSIONAL CERTIFICATE IN ANALYTICS IN TALENT MANAGEMENT
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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