Focus Areas:
- Understanding the types of data used in statistics.
- Learning the role of statistics in Human Resource Management (HRM).
- Understanding Descriptive Statistics and its function in Statistics.
- Learning to calculate and interpret measures of Central Tendency.
- Exploring measures of Variability and their importance in HR data.
- Introduction to skewness and its implications for HR decision-making.
- Understanding standard deviation and its use in evaluating HR data variability.
- Learning about z-scores and their application in HR analytics.
- Developing skills to represent HR data visually for better communication.
Learning Objectives:
- Develop the ability to classify HR data accurately to apply appropriate statistical methods.
- Utilize statistical measures to summarize and describe the workforce characteristics effectively.
- Apply measures of central tendency to compare and contrast different groups within the organization.
- Evaluate the distribution of HR-related data to identify common patterns and outliers.
- Interpret skewness in the context of HR metrics, such as performance ratings, to understand the asymmetry of distributions.
- Use standard deviation to assess the spread of data, and make decisions regarding policy changes.
- Apply z-scores to determine how individual employees or departments stand compared to the overall organization.
- Design and interpret visual data representations, such as pie charts for departmental headcount or histograms for salary distributions, to inform strategic HR planning.
- Utilize visual tools, like box and whisker plots, to communicate the range and dispersion of employee engagement scores across teams.
- Interpret line charts to analyze trends in the organization.
- Use scatter plots to investigate the relationship between different variables in HR Data.
- Understand the importance of random, stratified, and systematic sampling in gathering representative HR data for reliable analysis.
- Employ statistical knowledge to improve hiring practices, performance evaluations, and employee development programs.
The Instructor for this course is Vincent Singh
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Course Content
Course Overview
Module 1: Introduction to Statistics
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