HR People Analytics

HR People Analytics, available at $44.99, has an average rating of 4.43, with 43 lectures, 7 quizzes, based on 15 reviews, and has 182 subscribers.

You will learn about Understand the fundamentals of HR people analytics and its practical applications Analyze staffing metrics to optimize workforce planning Evaluate recruitment and selection metrics to improve hiring processes Measure compensation metrics to ensure equitable and competitive pay structures Apply performance appraisal (PA) metrics to enhance employee evaluations Implement the 9-box model for effective talent management Assess learning and development metrics to gauge training effectiveness Utilize linear and logistic regression for HR data analysis Forecast HR trends using advanced predictive tools Perform k-means clustering in Excel to segment employee data This course is ideal for individuals who are HR professionals looking to enhance their analytical skills and make data-driven decisions or Data analysts and business analysts interested in applying their skills to HR contexts or Students and professionals aspiring to specialize in HR analytics It is particularly useful for HR professionals looking to enhance their analytical skills and make data-driven decisions or Data analysts and business analysts interested in applying their skills to HR contexts or Students and professionals aspiring to specialize in HR analytics.

Enroll now: HR People Analytics

Summary

Title: HR People Analytics

Price: $44.99

Average Rating: 4.43

Number of Lectures: 43

Number of Quizzes: 7

Number of Published Lectures: 43

Number of Published Quizzes: 7

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the fundamentals of HR people analytics and its practical applications
Analyze staffing metrics to optimize workforce planning
Evaluate recruitment and selection metrics to improve hiring processes
Measure compensation metrics to ensure equitable and competitive pay structures
Apply performance appraisal (PA) metrics to enhance employee evaluations
Implement the 9-box model for effective talent management
Assess learning and development metrics to gauge training effectiveness
Utilize linear and logistic regression for HR data analysis
Forecast HR trends using advanced predictive tools
Perform k-means clustering in Excel to segment employee data

Who Should Attend

HR professionals looking to enhance their analytical skills and make data-driven decisions
Data analysts and business analysts interested in applying their skills to HR contexts
Students and professionals aspiring to specialize in HR analytics

Target Audiences

HR professionals looking to enhance their analytical skills and make data-driven decisions
Data analysts and business analysts interested in applying their skills to HR contexts
Students and professionals aspiring to specialize in HR analytics

This HR People Analytics course is designed to equip you with the analytical tools and techniques essential for making informed HR decisions and improving employee outcomes. This course demystifies the process of analyzing HR-related data, enabling you to effectively forecast, evaluate, and enhance various HR functions.

In this course, you will:

Learn the fundamentals of HR people analytics and its applications.
Master the art of forecasting HR metrics to predict future trends.
Understand staffing, recruitment, and selection metrics.
Explore compensation and performance appraisal (PA) metrics.
Develop skills to implement linear regression and logistic regression for HR insights.
Gain proficiency in clustering techniques like k-means to segment employee data.
Apply the 9-box model for talent management.
Analyze learning and development metrics.
Apply your skills through hands-on projects and real-world scenarios to cement your learning.

Why Learn HR People Analytics?

Integrating people analytics into HR practices offers a competitive edge, enhancing efficiency, and ensuring the success of your HR initiatives. This course will guide you through understanding complex HR data, making predictions about future employee behavior, and implementing strategies to achieve desired outcomes. Whether you are an HR professional, data analyst, business analyst, or student, these skills are invaluable in navigating the complexities of modern HR environments.

Course Activities Include:

Real-world case studies to apply and reinforce your learning.
Practical exercises in Excel, focusing on data analysis and modeling techniques.
Projects that simulate actual HR challenges, requiring data-driven solutions.

5 Reasons to Choose This HR People Analytics Course:

Comprehensive curriculum blending HR principles with people analytics.
Hands-on approach with practical examples and case studies.
Downloadable resources for practice and application of learned techniques.
Guidance from instructors with extensive experience in data analytics and HR management.
A vibrant community of peers for collaboration and support.

What Makes Us Qualified to Teach You?

This course is brought to you by Abhishek and Pukhraj, seasoned educators with a decade of experience in teaching data analytics, machine learning, and business analytics. Leveraging tools like Excel, SQL, Python, and Tableau, we’ve crafted engaging, impactful learning experiences.

We’ve received thousands of 5-star reviews for our courses, reflecting our commitment to helping students achieve their professional and personal learning goals:

“I had an awesome moment taking this course. It broadened my knowledge more on the power use of SQL as an analytical tool. Kudos to the instructor!” – Sikiru

“Very insightful, learning very nifty tricks and enough detail to make it stick in your mind.” – Armand

So, if you’re ready to harness the power of people analytics in HR management, enroll in our course today and take the first step towards mastering this essential skill set.

Cheers,

Start-Tech Academy

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Four stages of Data Analytics

Lecture 3: Structure of the course

Lecture 4: Course Resources

Lecture 5: This is a milestone

Chapter 2: Staffing, Recruitment and Selection Analytics

Lecture 1: Introduction to HR metrics

Lecture 2: Staffing Metrics

Lecture 3: Recruitment and Selection Metrics

Lecture 4: Essential steps for formulating a KPI

Lecture 5: Recruitment Metrics – Case Study

Lecture 6: Recruitment Metrics – Case Study Solution

Chapter 3: Workforce forecasting

Lecture 1: Introduction to Forecasting

Lecture 2: Introduction to Workforce forecasting

Lecture 3: Forecasting basics : Trend and Seasonality model

Lecture 4: Prerequisite for building forecasting model – Excel Solver

Lecture 5: Forecasting in Excel – Additive time series model

Lecture 6: Forecasting in Excel -Multiplicative time series model

Lecture 7: Case study – Workforce forecasting

Chapter 4: Performance Appraisals (PA) Analytics

Lecture 1: Performance Appraisals matrics

Chapter 5: Compensation Management Analytics

Lecture 1: Compensation management metrics

Lecture 2: Case study (Linear Regression) – Introduction

Lecture 3: Introduction to Linear Regression

Lecture 4: Understanding the output of Linear Regression

Lecture 5: Salary Prediction Case study – Understanding data

Lecture 6: Salary Prediction Case study – Data Preprocessing

Lecture 7: Salary Prediction Case study – Output

Lecture 8: Salary Prediction Case study – Prediction on new data

Lecture 9: Salary Prediction Case study – Alternative method XLStat

Chapter 6: Talent Management Analytics

Lecture 1: 9-box grid model – Introduction

Lecture 2: 9-box grid model – Categories

Lecture 3: Talent Management Metrics

Lecture 4: Logistic Regression – Case study

Lecture 5: Logistic Regression – Introduction

Lecture 6: Logistic Regression – Understanding output

Lecture 7: Understanding data of Employee retention case study

Lecture 8: Logistic Regression model creation for Employee retention case study

Lecture 9: Prediction using Logistic Regression model for Employee retention case study

Chapter 7: Training and Development Analytics

Lecture 1: Training and Development Metrics

Lecture 2: Basics of K-Mean Custering

Lecture 3: Case Study on K-Mean Custering

Lecture 4: The final milestone!

Chapter 8: Conclusion

Lecture 1: About your certificate

Lecture 2: Bonus lecture

Instructors

Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries

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1 stars: 0 votes
2 stars: 0 votes
3 stars: 3 votes
4 stars: 5 votes
5 stars: 7 votes

Frequently Asked Questions

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

Can I take my courses with me wherever I go?

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