People Analytics: Transforming HR Strategy with Data Science

This DIXONTECH programme empowers HR professionals to leverage data science and analytics to drive strategic workforce decisions and organizational performance. It explores how People Analytics transforms HR from an operational function into a predictive and evidence-based discipline. Participants will learn to collect, analyze, and interpret workforce data using data science tools and visualization techniques. The course focuses on developing actionable insights in areas such as recruitment, retention, performance, and engagement to build data-driven HR strategies aligned with business goals.

TRAINING TOPICS

• Fundamentals of People Analytics and Data Science in HR
• Data Collection, Cleaning, and Visualization Techniques
• Predictive Analytics and Workforce Modeling
• Linking HR Metrics to Business Outcomes
• Building a Data-Driven HR Culture and Strategy

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Use data science to optimize HR strategies and business performance.

• Understand the role of People Analytics in modern HR strategy

• Design HR data collection and analysis frameworks

• Apply statistical and predictive models to workforce trends

• Translate data insights into business actions and policies

• Integrate analytics into HR decision-making processes

• Visualize and communicate HR data effectively

• Drive cultural transformation through data-driven leadership

TRAINING IS TAILORED TO

• HR leaders and professionals responsible for strategic decision-making and analytics.

• HR Directors and Managers

• HR Business Partners and Analysts

• People Analytics and Data Science Specialists

• Organizational Development and Strategy Professionals

• Workforce Planning and Talent Managers

• HR Consultants and Transformation Advisors

• IT Professionals supporting HR data systems

TRAINING METHODOLOGY

The DIXONTECH methodology combines data-driven workshops, analytics simulations, and business case applications. Participants engage in hands-on exercises using HR datasets, visualization tools, and predictive modeling techniques. The course bridges HR expertise with analytical thinking, ensuring participants can confidently transform workforce data into strategic insights that enhance performance and decision-making at all organizational levels.

DAY 1

Fundamentals of People Analytics and Data Science in HR

• Understanding People Analytics and its strategic importance

• The evolution of HR from intuition to data-driven management

• Key metrics, KPIs, and dimensions of HR analytics

• The intersection of HR, data science, and business intelligence

• Overview of analytical maturity stages in HR functions

• Building the foundation for data-driven HR decisions

DAY 2

Data Collection, Cleaning, and Visualization Techniques

• Identifying and collecting relevant HR data sources

• Data validation, cleansing, and integrity management

• Using Excel, Power BI, or Python for HR data analysis

• Designing effective HR dashboards and visual reports

• Avoiding biases and errors in data interpretation

• Creating real-time data visualization for HR leadership

DAY 3

Predictive Analytics and Workforce Modeling

• Understanding statistical and predictive analysis for HR decisions

• Applying regression, clustering, and correlation models

• Using predictive analytics for turnover, performance, and engagement

• Workforce planning through scenario modeling

• Interpreting HR data with evidence-based insights

• Building algorithms for proactive talent management

DAY 4

Linking HR Metrics to Business Outcomes

• Connecting HR indicators with financial and operational performance

• Building HR scorecards aligned with strategic goals

• Demonstrating HR ROI and value contribution through analytics

• Presenting HR insights to executives and decision-makers

• Using storytelling to communicate analytical findings effectively

• Embedding HR analytics in strategic planning cycles

DAY 5

Building a Data-Driven HR Culture and Strategy

• Establishing a data-driven mindset within HR teams

• Building analytics capability and governance frameworks

• Managing data ethics, privacy, and compliance (GDPR, ISO)

• Leveraging AI and automation in People Analytics

• Sustaining analytics adoption across business units

• Designing the roadmap for People Analytics maturity