Executive Development Programme in HR Data Manipulation

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The Executive Development Programme in HR Data Manipulation is a certificate course designed to empower HR professionals with data manipulation skills. In today's data-driven world, understanding and analyzing HR data is crucial for making informed business decisions.

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AboutThisCourse

This course is essential for HR professionals seeking to advance their careers, as it equips learners with the skills to collect, analyze, and interpret HR data using various tools and techniques. The course is industry-demanding, as organizations are increasingly looking for HR professionals who can manipulate data to drive strategic business decisions. Through this course, learners will gain hands-on experience with data manipulation tools such as Excel, SQL, and Tableau. They will learn how to use data to identify trends, patterns, and insights that can inform HR strategy and improve organizational performance. By the end of the course, learners will have a solid foundation in HR data manipulation, enabling them to take on more senior HR roles and drive business success.

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CourseDetails

โ€ข Introduction to HR Data Manipulation: Understanding the basics of HR data, data sources, and data types.

โ€ข Data Collection Techniques: Exploring various data collection methods, including surveys, interviews, and observation.

โ€ข Data Cleaning and Preparation: Techniques for cleaning and preparing HR data for analysis, including handling missing data and outliers.

โ€ข Data Analysis Tools and Techniques: Overview of tools and techniques for analyzing HR data, including descriptive and inferential statistics, and data visualization.

โ€ข HR Analytics and Decision Making: Using HR data to inform decision making, including identifying key metrics and developing data-driven strategies.

โ€ข Data Privacy and Security: Understanding the importance of data privacy and security in HR data manipulation, including best practices for protecting sensitive data.

โ€ข Data Storytelling: Communicating insights and recommendations from HR data to stakeholders, including effective data visualization and presentation techniques.

โ€ข Machine Learning and Predictive Analytics: Introduction to machine learning and predictive analytics in HR data manipulation, including regression analysis and classification models.

โ€ข Ethical Considerations in HR Data Manipulation: Understanding ethical considerations in HR data manipulation, including data ownership, informed consent, and transparency.

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The above code displays a 3D Pie Chart, visually representing the roles included in the Executive Development Programme in HR Data Manipulation. This program focuses on enhancing the skills and understanding of HR professionals in data manipulation and analysis. The chart highlights various roles such as Data Analyst, HR Business Partner, HR Manager, People Data Strategist, Total Rewards Analyst, and Workforce Planning Specialist. Each role is assigned a relevance percentage, demonstrating its significance in the HR Data Manipulation field. The Google Charts 3D Pie Chart is responsive and adaptable to different screen sizes due to its width being set to 100% and a height of 400px. The chart has a transparent background with no added background color, ensuring a smooth visual experience. The Google Charts library is loaded correctly, and the JavaScript code defines the chart data, options, and rendering logic, resulting in an engaging and industry-relevant visual representation.

EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
  • ComplementaryFormalQualifications

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FastTrack GBP £149
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
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StandardMode GBP £99
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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EXECUTIVE DEVELOPMENT PROGRAMME IN HR DATA MANIPULATION
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UK School of Management (UKSM)
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05 May 2025
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