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Udemy

HR People Analytics

via Udemy

Overview

Master HR People Analytics: Explore key HR metrics and predictive tools for effective people analytics strategies

What you'll 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

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:

  1. Comprehensive curriculum blending HR principles with people analytics.

  2. Hands-on approach with practical examples and case studies.

  3. Downloadable resources for practice and application of learned techniques.

  4. Guidance from instructors with extensive experience in data analytics and HR management.

  5. 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

Taught by

Start-Tech Academy

Reviews

4.5 rating at Udemy based on 83 ratings

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