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DATA SCIENCE

in Action – Human Resource Management

DATA SCIENCE

in Action – Human Resource Management

Course Features

HRDF claimable – Training materials provided – Refreshments and lunch – Complimentary online access for Excel Business Analytics

Duration

2-Day Course

Programme

Professional Certification

Duration

2-Day Course

Programme

Professional Certification

OVERVIEW:

In an increasingly data-driven world, the accurate evaluation of business programs and practices is a key for business transformation to happen.
But what should you be applying for business transformation? And what is the best way to gather this important data measure metrics?
HR leaders help drive business performance by delivering competitive advantage through people. Performance relies on measures, so you need to be adept at planning and interpreting your organisation’s “people metrics”. This require a solid grasp of HR analytics: the systematic collection, analysis, and the interpretation of data designed to improve decisions about talent and the organisation as a whole. But to grasp potential of HR analytics, HR team need to become data interpreters.

WHO SHOULD ATTEND ?

HR Directors, HR Managers, CHROs, Senior Management Staff, HR Business Partners and all those HR professionals who want to solve various HR problems by leveraging HR analytic for data driven decision making

LEARNING OUTCOMES

  • Understand about Business Analytics and it value to organisations
  • Understand the roles & meaning of models
  • Understand the power of deploying a hypothesis
  • The how and why of a model’s performance

COURSE OBJECTIVES

  • Uncover data-driven insights using analytics skills that aid in the strategic decision making and reporting
  • Gather and identify relevant data from different sources
  • Differentiate between measures of HR efficiency, effectiveness and impact on business
  • How to drive organisational changes by linking evidence-based data to business strategy and performance
  • How to apply analytical to understand data and make meaningful business decisions

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