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Certification In People Analytics And Employee Experience
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Certification In People Analytics And Employee Experience
[center][Resim: d5895390ddf4d4b92bca122fc904a814.png]
Certification In People Analytics And Employee Experience
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 10h 3m | Size: 8.47 GB[/center]

Learn Data Collection and Management for People Analytics, Core People Analytics Metrics and KPIs, Statistical Analysis
What you'll learn
You will learn the fundamentals of People Analytics and Employee Experience Design, Introduction to People Analytics and Employee Experience Design
You will explore the key concepts, understand how data can be used to improve employee experience, and study how People Analytics and EX intersect
You will understand the essentials of data collection and management for People Analytics, Foundations of Data Collection and Management
You will gain knowledge of core People Analytics metrics and KPIs, Core People Analytics Metrics and KPIs
You will explore the basics of statistical analysis and key tools used in People Analytics, Introduction to Statistical Analysis and Tools for People Analytic
You will study Employee Experience Design frameworks; Understanding Employee Experience Design Framework
You will master advanced People Analytics techniques, Advanced People Analytics Techniques
You will learn how to integrate Employee Experience with well-being and DEI (Diversity, Equity, and Inclusion), Integrating EX with Employee Well-being & DEI
You will understand the technologies and trends shaping the future of People Analytics, Technology and the Future of People Analytics
Requirements
You should have an interest in human resources, employee experience, and how data can transform HR decision-making.
Familiarity with basic HR concepts and tools like Excel, HR dashboards, or HRIS systems is recommended but not mandatory.
Description
Learn Data Collection and Management for People Analytics, Core People Analytics Metrics and KPIs, Statistical Analysis and Tool, Employee Experience Design Framework, Integrating EX with Employee Well-being and DEIDescriptionTake the Next Step in Your HR Journey with People Analytics and Employee Experience Design!Whether you are an aspiring HR professional, a business strategist, an entrepreneur, or a data enthusiast, this course will equip you with the knowledge and practical skills to understand, implement, and apply people analytics and employee experience (EX) design. You will explore how data, analytics, and modern HR tools are transforming organizations - from smarter talent acquisition and predictive workforce planning to improved employee engagement, well-being, and retention.Guided by real-world examples and hands-on exercises, you will:Master the fundamentals of People Analytics and Employee Experience Design, including workforce planning, employee engagement, performance management, and EX frameworks.Gain practical experience with HR analytics platforms, AI-powered tools, and case studies to design and evaluate impactful HR and EX strategies.Explore real-world applications such as recruitment optimization, attrition prediction, skills gap analysis, well-being initiatives, and leadership development.Understand ethical, legal, and governance challenges in people analytics, including privacy, fairness, transparency, and compliance.Position yourself for future growth by learning about the latest innovations and emerging trends shaping people analytics, EX design, and HR technology.The Frameworks of the CourseEngaging video lectures, real-world case studies, projects, downloadable resources, and interactive exercises - designed to help you deeply understand People Analytics concepts, Employee Experience design, and their practical applications.· The course includes multiple HR case studies and resources such as templates, worksheets, quizzes, reading materials, self-assessments, and hands-on activities to strengthen your ability to apply People Analytics strategies.· In the first part of the course, you'll learn the foundations of People Analytics and Employee Experience design, explore the importance of data collection and management, and understand the key metrics and KPIs that shape workforce insights.· In the middle part of the course, you will develop a strong foundation in statistical analysis, employee experience design frameworks, and advanced People Analytics techniques like predictive analytics, machine learning, NLP, and organizational network analysis.· In the final part of the course, you will study how to integrate Employee Experience with well-being and DEI, explore technologies and trends shaping the future of People Analytics, and complete a capstone project to apply your learning in a practical, outcome-driven way. Full support will be provided throughout your journey, with queries addressed within 48 hours.Course ContentTongueart 1Introduction and Study Plan· Introduction and know your instructor· Study Plan and Structure of the CourseModule 1: Introduction to People Analytics and Employee Experience Design1.1. Foundations of People Analytics1.2. Employee Experience (EX) Design1.3. Intersection of People Analytics and Employee Experience1.4. Strategic Implementation1.5. Future of People Analytics and Employee Experience Design1.6. ConclusionModule 2: Foundations of Data Collection and Management for People Analytics2.1. Understanding Data in People Analysis2.2. Ethics and Privacy in Data Collection2.3. Data Management Essentials2.4. From Data to Insights2.5. Challenges and Future Outlook2.6. ConclusionModule 3: Core People Analytics Metrics and KPIs3.1. Employee Retention and Hiring Metrics3.2. Employee Engagement and Experience Metrics3.3. Diversity, Inclusion, and Mobility Metrics3.4. Performance and Productivity Metrics3.5. Implementing Core Metrics and KPIs in People Analytics3.6. ConclusionModule 4: Introduction to Statistical Analysis and Tools for People Analytics4.1. Core Statistical Techniques in People Analytics4.2. Key Statistical Tools for People Analytics4.3. Implementing Statistical Analysis in People Analytics4.4. ConclusionModule 5: Understanding Employee Experience Design Framework5.1. Key Components of the Employee Experience Design Framework5.2. Benefits and Implementation5.3. ConclusionModule 6: Advanced People Analytics Techniques6.1. Predictive Analytics for Workforce Planning6.2. Machine Learning for Talent Acquisition6.3. Organizational Network Analysis (ONA)6.4. Natural Language Processing (NLP) for Sentiment and Engagement Analysis6.5 Workforce Segmentation for Targeted HR Strategies6.6. Prescriptive Analytics for Actionable Insights6.7. Advanced Data Visualization for People Analytics Insights6.8. Implementing Advanced People Analytics Techniques6.9. ConclusionModule 7: Integrating EX with Employee Well-being and DEI (Diversity, Equity, and Inclusion)7.1. Understanding the Intersections of EX, Well-being, and DEI7.2. EX, Well-being Key Strategies for Integrating, and DEI7.3. Challenges and Solutions integration7.4. Benefits of Integrating EX, Well-being, and DEI7.5. ConclusionMODULE 8: Technology and the Future of People Analytics8.1. Core Technologies Driving People Analytics8.2. Key Trends Shaping the Future of People Analytics8.3. Tools and Platforms for People Analytics8.4. Challenges and Considerations8.5. ConclusionPart 2MODULE 9. Capstone Project
Who this course is for
HR professionals, talent managers, and people leaders who want to use data-driven insights to improve workforce planning, engagement, and employee satisfaction.
Business leaders, executives, and decision-makers seeking to align employee experience with organizational strategy and drive higher productivity and retention.
Data analysts, aspiring people analysts, and HR tech enthusiasts who are interested in applying analytics, metrics, and AI tools within the HR domain.
Consultants, organizational psychologists, and change management professionals aiming to design better employee journeys and workplace experiences.
Students and early-career professionals in HR, business, and analytics who want to build future-ready skills at the intersection of data, people, and design thinking.
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