Traditional methods of hiring and recruitment have become obsolete.

HR now has a new name — Talent Management. This function aligns closely to business strategy, uses new-age recruitment sources, competency mapping, cloud-based HR software, and AI-powered screening tools to attract and filter the best talent at scale.

This course takes you from foundational concepts to hands-on analytics practice. You will learn to build a talent pipeline, attract top talent, and develop strategies to retain your highest performers — the super keepers who create a sustainable people edge for your organisation.

The course covers the full Talent Acquisition process from start to maturity, TA strategies, analytics and growth, job descriptions for TA and analyst roles, and implementation of talent acquisition systems and tools.

The course now includes a new analytics module with three additional lectures covering TA KPI dashboards, AI and predictive analytics in hiring, and a full end-to-end case study — tracing a real hiring problem to a data-backed recommendation with a projected $432K annual ROI.

Practical assessments include a 20-question quiz, a 150-row hiring dataset with a KPI calculator built in Excel, and a real-world workplace analytics project you can reference in interviews or performance reviews.

This course is ideal for HR professionals, recruiters, and people managers looking to transition from traditional HR into strategic talent acquisition and people analytics. It equips you with the latest trends, practical tools, and the data skills to apply for — or excel in — a Talent Acquisition Specialist or Talent Analyst role.

Course Curriculum — All Lectures

• Lecture 1 · What is Talent Management?

• Lecture 2 · What is Talent Acquisition?

• Lecture 3 · How is Talent Management different from HRM?

• Lecture 4 · How is Talent Acquisition different from traditional recruitment?

• Lecture 5 · Talent Acquisition Trends 2025 (updated)

• Lecture 6 · Job Description Exemplars

• Lecture 7 · Talent Analytics — Introduction

• Lecture 8 · Talent Acquisition Strategies

• Lecture 9 · Talent Acquisition Process — Planning & Implementation

• Lecture 10 · Software, Tools & Digital Screening

• Lecture 11 · Implementation of Talent Acquisition & Analytics

• Lecture 12 · Building Your TA Metrics Dashboard (NEW)

• Lecture 13 · AI & Predictive Analytics in Talent Acquisition (NEW)

• Lecture 14 · Case Study — From Data to Decision (NEW)

What You Will Learn

• Explain the difference between Talent Management, Talent Acquisition, and traditional HRM

• Design and implement a structured Talent Acquisition process aligned to business strategy

• Build a TA KPI dashboard in Excel tracking Time-to-Fill, Cost-per-Hire, Quality-of-Hire, and five additional core metrics

• Analyse real hiring data to identify sourcing inefficiencies and calculate recruitment ROI

• Evaluate AI-powered TA tools including ATS platforms, predictive analytics software, and digital screening tools

• Apply the STAR framework to present talent analytics findings to senior stakeholders

• Complete a workplace analytics project mapping a real TA funnel with a data-backed KPI proposal

• Develop strategies to attract, retain, and develop super-keepers in your organisation

Who This Course Is For

• HR generalists looking to specialise in talent acquisition or people analytics

• Recruiters transitioning into strategic TA or analyst roles

• HR managers wanting to introduce data-driven hiring practices to their teams

• Business leaders and line managers who want to understand what good talent analytics looks like

• Anyone preparing for a Talent Acquisition Specialist, TA Analyst, or People Analytics role

Requirements

• No prior analytics experience required

• Basic familiarity with Excel or Google Sheets is helpful but not essential

• An interest in HR, people management, or talent strategy