HR ANALYTICS AND METRICS
Overview
Some of the most common questions that HR personnel constantly ask themselves are largely woven around matters relating to analytics and metrics methodology. Questions like, “how do I predict ? ”, and “when do I make the decision to hire?”. These questions can be answered if we keep key HR metrics and analyze the data to make informed decisions. HR analytics and metrics methodology are integrated process for improving the quality of people-related decisions in order to improve individual and organizational performance. In this course we take a look at important key metrics and the gradual approach to analyzing these data to help predict future organizational HR needs. This course will also prepare participants who are interested in acquiring industry certifications for HRCI certifications.
- Experienced individuals who manage human resource activities in diverse fields
- Working professionals seeking to change career job or industry to human resource related field.
- Individuals who meet the requirements and intend on starting a career in human resource.
- Mid to senior-level executives in any sector.
- To impart HR professionals with the skills to manage HR analytics and metrics processes.
- To empower trainees with the use of HR analytics and metrics tools.
MODULE 1: DEFINITION OF CONCEPTS (ANALYTICS, HR ANALYTICS, HR METRICS)
- Objectives of HR Analytics
- Importance of HR Metrics
- HR metrics to measure
- Count and Frequency
- Largest and smallest values, Averages, Confidence Interval
- Percentiles, quartiles and rank
- Deviation and variance
MODULE 2: EXCEL DATA ANALYSIS TOOLPAK
- Loading the data analysis toolpak
MODULE 3: DESCRIPTIVE STATISTICS
- Business problem 1 solved using rank and percentile
- Business problem 2 solved using descriptive statistics and histogram
MODULE 4: INFERENTIAL STATISTICS
- Hypothesis testing
- Business problem 3 solved using correlation and covariance
- Business problem 4 solved using paired I-tes
- Business problem 5 solved using t-test equal/non-equal variance
- Business problem 6 solved using ANOVA single factor
- Business problem 7 solved using ANOVA two factor with & without replication
- Business problem 8 solved using Z-test
