Certificate in Data-Backed Talent Identification

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The Certificate in Data-Backed Talent Identification course is a powerful program designed to equip learners with the essential skills required in today's data-driven talent acquisition landscape. This course is of utmost importance as it bridges the gap between traditional recruiting methods and modern data-centric approaches.

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AboutThisCourse

In the current industry, there is a high demand for professionals who can leverage data to make informed talent decisions. This course equips learners with the ability to collect, analyze, and interpret data to identify top talent, reduce hiring bias, and improve overall workforce performance. By the end of this course, learners will have a deep understanding of data-backed talent identification strategies, tools, and techniques. They will be able to apply these skills to real-world scenarios, making them highly valuable in the job market. This course is a stepping stone for career advancement in talent acquisition, human resources, and related fields.

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CourseDetails

โ€ข Data-Driven Talent Identification
โ€ข Understanding Data Analysis for Talent Acquisition
โ€ข Sourcing Data: Finding Relevant Information
โ€ข Utilizing Applicant Tracking Systems (ATS) Data
โ€ข Data Visualization for Talent Identification
โ€ข Bias Mitigation in Data-Backed Talent Decisions
โ€ข Leveraging Artificial Intelligence and Machine Learning in Talent Identification
โ€ข Metrics and Analytics for Talent Identification
โ€ข Legal and Ethical Considerations in Data-Backed Talent Identification

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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CERTIFICATE IN DATA-BACKED TALENT IDENTIFICATION
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London College of Foreign Trade (LCFT)
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05 May 2025
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