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
The Learning Experience Guide for this course is Sahil Bhalerao.
Sahil can be reached out at sahil.bhalerao@rippleslearning.com
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Course Content
Course Overview
Module 1: Introduction to Statistics
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Responses
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Hello please where is the 15th course. I have completed 14 but cant find the 15th or is it the class?
Same here. Please update which is the 15th module?
Hello Rajeshwari,
All the modules are uploaded.
Please specify which lesson are you referring to?
Thank you!
Great impact
Thank you!
Happy Learning!
Happy learning!
Great!
Thank you very much for this. Enjoyed the class.
Hello Beatrice,
You’re welcome! I’m glad to know that you found the class enjoyable and helpful.
Happy Learning!
Completed