Certification in People Analytics and Employee Experience

Strengthen foundations of data collection and management for people analytics to enable data-driven HR decisions that reveal patterns from employee feedback and are accurate, relevant, and ethically managed.

Understand data in people analysis and how data collection from HRIS, surveys, and performance systems balances quantitative and qualitative data to drive insights.

Emphasize ethics and privacy in HR data collection by upholding informed consent, data minimization, transparency, and confidentiality, while complying with GDPR and CCPA and building a data governance framework.

Turn raw HR data into actionable insights using descriptive, predictive, and prescriptive analytics to forecast trends and guide interventions.

Discuss the challenges of data collection and management, including data silos, privacy and compliance, data quality, and resource constraints, and explore future AI-driven, integrated, employee-centric analytics with ethical transparency.

Drive smarter HR decisions with data-driven people analytics by building robust data collection, management, and secure, ethical infrastructure that boosts employee experience and organizational growth.

Explore core people analytics metrics and KPIs that empower HR to monitor turnover, onboarding, time to hire, engagement, and training, guiding data driven decisions to improve employee performance and retention.

Analyze turnover rate, including voluntary and involuntary turnover, and absenteeism to understand retention and hiring metrics, measure time to hire, and link insights to costs, productivity, and culture.

Quality of hire evaluates the value of new hires by performance, engagement, retention, and manager feedback, guiding hiring decisions.

Explore how the employee net promoter score gauges engagement, and how training metrics like completion rates and post-training effectiveness reveal learning impact on the organization.

Analyze how demographic diversity, inclusion scores, pay equity, and internal mobility rate measure representation, belonging, fairness, and internal growth in organizations.

Examine performance and productivity metrics, using ratings and KPI-based evaluations to track employee contributions toward goals, while counting outputs like sales and project completions to foster accountability.

Implement core metrics and KPIs in people analytics by collecting and integrating data from HR systems, monitoring trends, and turning insights into action to improve employee satisfaction and performance.

Position HR as a strategic navigator using people analytics to align goals, boost engagement, reduce turnover, and foster an agile, thriving workplace through data-driven decisions.

Apply statistical analysis to HR data to uncover patterns in turnover, training gaps, and engagement, then predict outcomes and guide smarter hiring, training, and employee experience decisions.

Describe core statistical techniques in people analytics, including descriptive statistics, correlation and regression analysis, hypothesis testing, cluster analysis, and predictive modeling to drive retention, engagement, and performance.

Explore key statistical tools for people analytics, from Excel for basic analysis to R, Python, SPSS, and SAS for advanced modeling, with Tableau or Power BI for dashboards.

Implement statistical analysis in people analytics by defining KPIs, ensuring clean data, updating sources, and applying techniques like descriptive and predictive analytics, then visualize findings to drive data-driven decisions.

Leverage statistical analysis as the backbone of people analytics to turn raw data into insights, enabling data-informed decisions, engagement measurement, turnover prediction, and evidence-based, proactive HR strategies.

Explore how a structured employee experience design framework shapes the employee journey—from onboarding to culture—by aligning physical workspace, digital environment, and cultural environment to boost engagement, productivity, and retention.

Develop an employee experience design framework through foundational research, surveys, personas, journey mapping, and data analysis, then map the employee journey from recruitment to offboarding with continuous feedback.

Discover how a strong employee experience design framework boosts engagement, retention, productivity, and attraction of top talent, aligning with organizational values and leadership, goals, technology, and cross-functional collaboration.

Explore how an employee experience framework drives engagement, retention, and well-being across the employee journey. See how culture, inclusion, and collaboration shape performance and future success.

Explore advanced people analytics techniques—machine learning, predictive modeling, network analysis, and natural language processing—to uncover deeper insights and inform data-driven HR decisions.

Discover how predictive analytics uses historical data and statistical models to forecast attrition, employee performance, productivity, and skills needs, enabling proactive workforce planning and strategic HR interventions.

Explore organizational network analysis to visualize relationships, reveal informal leaders and hidden connectors, identify silos, and prevent burnout by strengthening cross-functional collaboration.

Explore natural language processing for sentiment and engagement analysis in people analytics, learning to detect mood, themes, and real-time feedback from employee communications.

Explore workforce segmentation to tailor HR strategies, using criteria like role, tenure, performance, and work style to personalize training, boost retention, engagement, and design flexible policies.

Prescriptive analytics turns data into action by recommending specific human resources interventions for retention, performance, and team design, acting like a global positioning system that guides proactive, data-driven decisions.

Advanced data visualization for people analytics reveals heatmaps for engagement, attrition trends over time, and diversity metrics using Power BI, Tableau, and HR dashboards to drive data-driven decisions.

Implement advanced people analytics by building strong data capabilities, integrating data across systems, and training HR teams in interpretation and visualization, while preserving data privacy and ethics.

Advanced people analytics transforms human resources with deeper engagement insights. Predictive analytics, machine learning, nlp, and data visualization empower strategic decisions enhancing employee experience and aligning with organizational goals.

Explore how to integrate employee experience with wellbeing and DEI, implement wellness programs, flexible work, and mentorship to foster inclusion, boost engagement, and drive performance.

Explore how employee experience, well-being, and DEI intersect to design inclusive, health-promoting journeys from onboarding to offboarding that boost engagement, performance, and retention.

Develop an inclusive workplace by embedding wellbeing across the employee journey, using data analytics to illuminate dei and wellbeing, and advancing equitable career development through mentorship and sponsorship.

Explore challenges and solutions for integrating X with well-being and DII, including resource allocation and data privacy, and learn how leadership support drives successful implementation.

Integrate employee experience with DEI and wellbeing to build an inclusive culture that drives engagement, retention, innovation, and data-driven guidance for long-term organizational growth.

Explore how technology, ai, and ml drive the future of people analytics, turning data into personalized employee experiences, predicting turnover, and guiding talent development.

Explore core technologies driving people analytics, including data integration and cloud scalability, with Paylocity as an example of ai, ml, nlp, automation, and chatbots shaping hr.

Explore real time analytics, AI driven insights, and personalized employee experiences to anticipate needs, boost engagement, and future proof workforce planning in people analytics.

Explore how enhanced wellbeing analytics use wearable data and wellness apps to prevent burnout, improve work-life balance, and drive inclusive, diverse workplaces.

Explore how people analytics platforms like Workday, SAP, SuccessFactors, and Ultimate Software, integrated with AI and ML, deliver real-time insights on performance, engagement, and turnover to drive proactive HR decisions.

Explore challenges and considerations when implementing technology in people analytics, including data privacy and ethics, GDPR compliance, data quality and integration, and change management to foster a data-driven culture.

Explore how AI, machine learning, and data integration empower personalized, inclusive, and ethical people analytics that drive smarter, data-driven HR decisions and improved employee experiences.

Capstone project teaches mapping the employee journey from recruitment to offboarding, using people analytics and design thinking to identify pain points and deliver actionable enhancements for the employee experience.