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.
HR People Analytics: Data-Driven HR Decision Making
Employee Metrics, Workforce Planning, Talent Management, Analytics Tools & Ethical Considerations | With Case Studies
Ngazi Zote • 46 Mihadhara • Ufikiaji wa Maisha Yote
Mwalimu Mkuu Aliyethibitishwa
trailer ya gari
Kutana na mwalimu wako: Dr. Amar Massoud
19 ms
5.0 / 5.0
Ukadiriaji wa KimataifaKiingereza (Marekani)
Nukuu 99 za Lugha2 saa 46 dak
Jumla ya MaudhuiUtajifunza nini
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.
Maudhui ya Kozi
13 sehemu • 46 mihadhara • 02:46:57 urefu wa jumlaAnalytics 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.
Mpango wa Masomo wa Kila Wiki
Panga safari yako ya kujifunza
AI hutengeneza ratiba ya kibinafsi kulingana na upatikanaji wako5 saa/wiki
Mahitaji
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.
Watazamaji Walengwa
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.
Kuhusu kozi hii
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.
Fursa za Kazi na Majukumu Lengwa
Jenga ujuzi wa vitendo unaotakiwa kazini na uhitimu kwa nafasi zenye ushawishi mkubwa duniani
Mtaala Uliotayarishwa kwa Ajira
Majukumu ya Kazi Unayoweza Kuomba
Operations & Business Analyst
Quality Management Auditor (ISO)
Project Operations Lead
Corporate Process Strategist
Mshahara Unaokadiriwa kwa Mwaka
$75,000 – $120,000 / yr
Mahitaji ya Soko Ulimwenguni
Steady Enterprise & Corporate Demand
Ujuzi Muhimu Utakaobobea* Makadirio yanatokana na vigezo vya kimataifa vya uajiri wa kiteknolojia.
Risk Assessment & Auditing Compliance
Operational Efficiency & Frameworks
Financial Reporting & Modeling
Cross-Functional Team Leadership
Kutana na mkufunzi wako
Dr. Amar Massoud
Mwalimu Mkuu
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....
Wanafunzi pia walinunua
Wanafunzi waliotazama kozi hii pia walijiandikisha katika kozi hizi zilizopewa alama za juu
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