Lucebra
Lucebra Biznes
Biznes i zarządzanie/Zasoby Ludzkie/Analityka HR

HR People Analytics: Data-Driven HR Decision Making (Kurs)

Employee Metrics, Workforce Planning, Talent Management, Analytics Tools & Ethical Considerations | With Case Studies

Wszystkie poziomy • 46 Wykłady • Dożywotni dostęp
Dr. Amar Massoud

Sprawdzony Mistrz Instruktor

HR People Analytics: Data-Driven HR Decision Making
PRZYCZEPA
Poznaj swojego instruktora: Dr. Amar Massoud

19 ms

5.0 / 5.0
Globalna ocena
Angielski amerykański
Napisy w 99 językach
2 godz. 46 min
Całkowita zawartość

Czego się dowiesz

Apply HR analytics to improve decision-making.
Develop predictive models for HR challenges.
Master data collection and analysis techniques.
Enhance HR processes with actionable insights.

Treść kursu

13 sekcji • 46 wykłady • 02:46:57 długość całkowita

Gathering and Managing HR Data

02:47

Gather and manage HR data from demographics, recruitment metrics, performance evaluations, training records, and engagement surveys to inform data-driven decisions while ensuring data quality, privacy, and GDPR-compliant security.

Key Data Sources for HR Analytics

02:35

Explore hr analytics through key data sources—demographics, recruitment, performance, training, compensation, and engagement—to illuminate workforce dynamics, diversity, and talent retention, and inform strategic decision making.

Data Collection Methods and Tools

02:31

Explore data collection methods and tools in HR analytics, including surveys and questionnaires for qualitative employee feedback, and HRIS systems, plus performance management, interviews, focus groups, and direct observations.

Ensuring Data Quality and Integrity

01:46

Ensure HR analytics reliability by upholding data quality—accuracy, completeness, and consistency—through standardized data entry and regular audits. Protect data integrity with access controls and audit trails.

Data Privacy and Security in HR

01:53

Learn how HR data privacy and security protect personal employee information from unauthorized access, using consent, encryption, access controls, and regular security audits in line with GDPR.

Analytics Tools and Techniques

03:00

Explore analytics tools and techniques for HR analytics, including HRIS and HCM software, data visualization, trend analysis, reporting, basic statistics, and predictive analytics to forecast turnover and guide workforce planning.

Overview of HR analytics Tools and Software

02:35

Explore the evolving landscape of HR analytics tools and software, including HR information systems and HCM platforms, with cloud based analytics, predictive modeling, and machine learning for data driven decisions.

Basic Statistics for HR Analytics

02:33

Explore how basic statistics support data-driven HR decisions through descriptive and inferential methods, correlation, and probability, including mean, standard deviation, regression, and turnover predictions.

Introduction to predictive analytics in HR

02:31

Explore how predictive analytics in HR uses historical data and statistical models to forecast workforce trends, support recruitment, retention, workforce planning, and engagement.

Practical Application and Case Studies

02:15

Apply practical people analytics through hands-on exercises with real world HR data and analyze case studies of successful projects to develop a data-driven solution for HR challenges.

Analyzing Case Studies of Successful People Analytics Projects

11:07

Explore how IBM, Starbucks, and Deloitte apply people analytics to drive retention, optimize staffing, and leadership development through data-driven insights and predictive models.

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Wymagania

Basic familiarity with HR concepts and terms can be helpful but is not mandatory.

Access to a computer with internet connectivity to utilize online tools and software demonstrated in the course.

An interest in data analysis and willingness to engage with quantitative methods.

Grupa docelowa

HR Professionals: Those already working in human resources who want to incorporate data analytics into their practice to improve decision-making and HR operations.

Managers and Team Leaders: Individuals in leadership roles who seek to understand HR analytics to better manage their teams and support strategic business decisions.

Aspiring HR Analysts: Beginners and students who are considering a career in HR analytics and wish to gain foundational knowledge and skills in this field.

Business Analysts and Data Scientists: Professionals from analytics or technical backgrounds looking to apply their skills in the HR domain and contribute to organizational development strategies.

O tym kursie

Welcome to "HR People Analyticsg," a comprehensive course designed to empower HR professionals, managers, and business leaders with the tools and knowledge necessary to harness the power of data in human resources management. This course is ideal for anyone interested in improving HR practices, enhancing employee experience, and driving organizational success through informed decision-making. Throughout this course, you will delve into the fundamentals of HR analytics, starting from basic data collection and analysis to more advanced topics such as predictive modeling and machine learning in HR contexts. You will learn how to analyze and interpret data effectively, transforming raw numbers into actionable insights that can significantly impact HR strategies and business outcomes. Key course highlights include:
  • Introduction to HR analytics tools and software, understanding their applications in daily HR tasks.
  • Techniques for measuring and enhancing employee engagement and satisfaction.
  • Methods for predicting employee turnover and developing effective retention strategies.
  • Practical exercises using real-world data to solve common HR challenges.
By the end of this course, you will be equipped with the skills to implement HR analytics projects confidently and effectively, fostering a data-driven culture within your organization. Join us to start your journey towards becoming a strategic HR leader, capable of leveraging analytics to make insightful, evidence-based HR decisions.
Możliwości Kariery i Stanowiska Docelowe

Zdobądź praktyczne umiejętności i kwalifikuj się na kluczowe stanowiska na świecie

Program Gotowy do Pracy
Stanowiska, na które możesz aplikować

Operations & Business Analyst

Quality Management Auditor (ISO)

Project Operations Lead

Corporate Process Strategist

Szacowane Wynagrodzenie Roczne
$75,000 – $120,000 / yr
Globalne Zapotrzebowanie Rynkowe

Steady Enterprise & Corporate Demand

Kluczowe Umiejętności, które Zdobędziesz
Risk Assessment & Auditing Compliance
Operational Efficiency & Frameworks
Financial Reporting & Modeling
Cross-Functional Team Leadership
* Szacunki oparte na globalnych raportach płacowych branży technologicznej.
Poznaj swojego instruktora
Dr. Amar Massoud
5.0 Ocena
5 Studenci
Plan osobisty Lucebra
Dr. Amar Massoud
Główny Instruktor
PhD in computer science and IT manager with 36 years technical experience in various fields including IT Security, IT Governance, IT Service Management , Software Development, Project Management, Business Analysis and Software Architecture. I hold 80+ IT certifications such as : ITIL 4 Master, ITIL 3 Expert ISO 27001 Auditor, ComptIA Security+, GSEC, CEH, ECSA, CISM, CISSP, CISA PGMP, MSP PMP, PMI-ACP, Prince2 Practitioner, Praxis, Scrum Master COBIT 2019 Implementor, COBIT 5 Assessor/Implementer TOGAF certified Lean Specialist, VSM Specialist PMI RMP, ISO 31000 Risk Manager, ISO 22301 Lead Auditor PMI-PBA, CBAP Lean Six Sigma Black Belt, ISO 9001 Implementer Azure Administrator, Azure DevOps Expert, AWS Practitioner And many more....

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