Hands-On HR Analytics Online Course for Human Resources

Hands-On HR Analytics Online Course for Human Resources, available at $74.99, has an average rating of 4.05, with 54 lectures, based on 981 reviews, and has 5534 subscribers.

You will learn about Select relevant HR Metrics relevant for your organization and build HR Dashboards Know what data to look for in various scenarios relating to HR Select the right analytics methods/tools for a given HR scenario Create Histograms, Boxplots and perform necessary analysis to validate various HR Scenarios with data Use scatter diagram, correlation, chi-square test, ANOVA, T-Test to validate HR Hypotheses Build simple predictive models using Regression Lead a HR Analytics project This course is ideal for individuals who are HR professionals & managers who are required to analyze and solve HR issues based on data or MBA HR Students or HRBP & HR Generalists or L&D Professionals or C&B Professionals or Recruitment Professionals It is particularly useful for HR professionals & managers who are required to analyze and solve HR issues based on data or MBA HR Students or HRBP & HR Generalists or L&D Professionals or C&B Professionals or Recruitment Professionals.

Enroll now: Hands-On HR Analytics Online Course for Human Resources

Summary

Title: Hands-On HR Analytics Online Course for Human Resources

Price: $74.99

Average Rating: 4.05

Number of Lectures: 54

Number of Published Lectures: 52

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 58

Original Price: $139.99

Quality Status: approved

Status: Live

What You Will Learn

Select relevant HR Metrics relevant for your organization and build HR Dashboards
Know what data to look for in various scenarios relating to HR
Select the right analytics methods/tools for a given HR scenario
Create Histograms, Boxplots and perform necessary analysis to validate various HR Scenarios with data
Use scatter diagram, correlation, chi-square test, ANOVA, T-Test to validate HR Hypotheses
Build simple predictive models using Regression
Lead a HR Analytics project

Who Should Attend

HR professionals & managers who are required to analyze and solve HR issues based on data
MBA HR Students
HRBP & HR Generalists
L&D Professionals
C&B Professionals
Recruitment Professionals

Target Audiences

HR professionals & managers who are required to analyze and solve HR issues based on data
MBA HR Students
HRBP & HR Generalists
L&D Professionals
C&B Professionals
Recruitment Professionals

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Updated in Nov 2020

Details of Update: Added 9 new lectures that covers step by step procedure to perform various HR Analytics and Data visualization using ‘Orange’ – A powerful open source data mining and ML tool

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HR Analytics or People Analytics is about taking people based decisions using data. That way HR Analytics can touch every division of HR and improve its decision making including Talent Acquisition and Management, Compensation and Benefits, Performance Management, HR Operations, Learning and Development, Leadership Development, etc.

Business Leaders accept that use of HR analytics to HR decisions may them more promising and accurate.

Most organizations today sit on a pile of data, thanks to HRMS & Cloud storage. However, in the absence of a proper HR analytics tool or necessary capability in HR professionals, these useful data or information we are talking about might be scattered and unused.

A HR Professional with right Analytics capability can interpret and transform this valuable data in useful statistics using HR and big data analytics to insights.

People Analytics will make Human Resources Department a true and valuable business partner.

Hands-on HR Analytics Online Course Structure

5 HR Datasets will be used to help you learn HR analytics
Includes 6 Hands-On Assignments
- Gender Parity Analytics
- Compensation & Benefits – Descriptive Analytics Screening & Outlier Analysis
- Recruitment Analytics
- Employee Attrition Analytics
- Employee Satisfaction Analytics
Introduction to HR Analytics
- Concept, Evolution of HR Analytics & Role of Analytics in HR
- Case studies of HR Analytics – Machine Learning and AI in HR
- Types of HR Analytics and Maturity Level of HR Analytics
HR Metrics that you can use
- HR Dashboarding Tips
Descriptive Analytics
- Measures of Central Tendency, Dispersion, Distortion
- Distribution Plots, Box Plots
- Outlier Analysis
Diagnostic Analytics
- Hypothesis Testing
- Confidence Levels, Alpha and Beta Risks
- Hypo Test Selection
- Chi-square test
- T- Tests
- ANOVA
Predictive Analytics
- Correlation
- Line of Best, Rsq, VIF
- Multi Linear Regression
- Overview of Logistic Regression

Tools Used:

Open Source “Orange” Data Mining and ML Tool
MS Excel Tool
Free Excel based Add-ons

Course Curriculum

Chapter 1: Introduction to HR Analytics

Lecture 1: Introduction

Lecture 2: HR Analytics Case Studies

Chapter 2: Guesstimate Assignment

Chapter 3: HR Analytics – Foundation

Lecture 1: Why HR Analytics & Why Now?

Lecture 2: Foundational Concepts of HR Anlaytics

Lecture 3: History of HR Analytics

Lecture 4: HR Analytics Maturity Model

Lecture 5: HR Analytics Technology & Tools

Lecture 6: Types of Analytics

Lecture 7: Additional Resources

Chapter 4: HR Metrics & Dashboards

Lecture 1: HR Metrics

Lecture 2: HR Metrics Tree I

Lecture 3: HR Metrics Tree II

Lecture 4: Dashboarding Tips

Lecture 5: Dashboarding Charts

Lecture 6: New & Advanced Charts

Lecture 7: Visual Appeal of Data

Lecture 8: Types of Data

Lecture 9: NEW LECTURE : Walk through of Orange – Data Visualization & Mining Tool

Chapter 5: Gender Parity Assignment

Chapter 6: Descriptive Analytics – Univariate Analytics

Lecture 1: HR Analytics Model

Lecture 2: Descriptive Statistics I

Lecture 3: NEW LECTURE : Plotting Histograms in Orange

Lecture 4: Descriptive Statistics II

Lecture 5: Skewness & Kurtosis

Lecture 6: Central Trend & Dispersion

Lecture 7: Real Stats Installation Procedure

Lecture 8: Central Trend in Real Stats

Lecture 9: NEW LECTURE : Descriptive Stats in Orange

Lecture 10: Creating Box Plots

Lecture 11: Using Box Plots with Visualization

Lecture 12: NEW LECTURE : Plotting Boxplots in Orange

Lecture 13: Outlier Analysis

Chapter 7: Descriptive Analytics Assignment

Chapter 8: Diagnostic Analytics I

Lecture 1: Diagnostic Analysis Intro

Lecture 2: Framing Hypothesis Statements

Lecture 3: Risks in Decision Making

Lecture 4: Hypo Test Selection

Lecture 5: Chi-Square Test

Lecture 6: Chi-Square Test in Real Stat

Lecture 7: NEW LECTURE : Chi-Square Test in Orange

Lecture 8: Chi-square Test Sample Size

Chapter 9: Employee Attrition Assignment

Chapter 10: Diagnostic Analytics II

Lecture 1: Mean Tests Selection

Lecture 2: Performing t-Tests

Lecture 3: Performing ANOVA

Lecture 4: NEW LECTURE : Performing t-Tests & ANOVA in Orange

Chapter 11: Employee Satisfaction Assignment

Chapter 12: Regression & Predictive Modelling

Lecture 1: Scatter Plots

Lecture 2: Correlation Coefficient

Lecture 3: NEW LECTURE : Correlation Coefficients in Orange

Lecture 4: NEW LECTURE : Scatter Plots in Orange

Lecture 5: Regression Models

Lecture 6: Prediction with Multi-Linear Regression

Lecture 7: NEW LECTURE : Regression in Orange

Lecture 8: Handling Outliers

Chapter 13: Recruitment Analytics Assignment

Lecture 1: Bonus Lecture: Details of our other courses

Instructors

Nilakantasrinivasan Janakiraman
Customer Experience & Business Transformation Leader

Rating Distribution

1 stars: 14 votes
2 stars: 33 votes
3 stars: 195 votes
4 stars: 349 votes
5 stars: 390 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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