HR Analytics for Decision Making

Introduction

Are you an HR professional looking to enhance your decision-making capabilities through data? The "HR Analytics for Decision Making" course might just be the tool you need. This comprehensive online course delves into the world of HR analytics, providing you with the skills to transform raw workforce data into actionable business solutions. Led by industry expert Mike Pritula, this course promises to equip you with the analytical prowess to calculate Employee Lifetime Value (ELV), optimize recruitment processes, and much more. Whether you're aiming to make more informed HR decisions or seeking to boost your career with cutting-edge skills, this course offers invaluable insights and practical applications.

Course Details

Course Curriculum Overview

The "HR Analytics for Decision Making" course is structured to guide you through the essentials of HR analytics. The curriculum spans ten lessons, each focusing on a critical aspect of HR analytics:

Introduction to Analytics: Learn the basics of People Analytics, including the 4S model and data-driven decision-making approaches.
Data Segmentation and Insights: Discover techniques for segmenting employee data and extracting actionable insights.
Assessing Employee Lifetime Value (ELV): Master the calculation of ELV and strategies to enhance employee value.
Employee Lifecycle Analysis: Build and assess employee journey maps to improve engagement and retention.
Recruitment Analytics: Analyze recruitment processes to measure effectiveness and optimize hiring strategies.
Employee Performance Analytics: Evaluate employee performance and engagement to drive productivity.
Loyalty and Turnover Analytics: Measure and analyze turnover and retention to understand employee loyalty.
Survey Analysis and Prioritization: Design and utilize surveys for data collection and identify key focus areas.
Advanced Regression Analysis: Apply regression analysis techniques to interpret complex HR data.
Forecasting and Experimental Design: Learn to make data-driven forecasts and design experiments to test HR initiatives.

Key Learning Outcomes

By the end of this course, you will:

Understand the fundamentals of HR analytics and its role in solving business problems.
Be able to calculate Employee Lifetime Value (ELV) and develop strategies to maximize employee impact.
Master recruitment, performance, and turnover analytics for better decision-making.
Apply advanced techniques like regression analysis and forecasting in HR contexts.

Target Audience and Prerequisites

This course is designed for:

HR professionals aiming to enhance their analytical skills and make data-driven decisions.
Managers and business owners seeking to understand and apply HR analytics for improved workforce management.
Individuals interested in leveraging data to optimize HR processes and strategies.

No prior analytics experience is required, but a basic understanding of HR concepts and a willingness to explore data-driven strategies are necessary.

Course Duration and Format

The course comprises 5.5 hours of on-demand video, supplemented by 12 downloadable resources. You can access the course on mobile and TV, making it convenient to learn at your own pace. The course is structured to release one lesson per week, allowing for flexible learning while ensuring a structured progression through the material.

Instructor Background

The course is led by Mike Pritula, a renowned HR leader and EdTech expert. With over 15 years of experience and a stellar 5.0 instructor rating from 279 reviews, Mike has guided over 7,129 students through his 29 courses. His expertise and practical approach make him an ideal instructor for this course.

Benefits & Applications

Practical Skills Gained

The "HR Analytics for Decision Making" course equips you with a range of practical skills:

Data Analysis: Learn to segment and analyze employee data effectively.
ELV Calculation: Understand and apply methods to calculate Employee Lifetime Value.
Performance Metrics: Evaluate employee performance and engagement metrics.
Predictive Analytics: Use regression analysis and forecasting to predict HR trends.

Real-World Applications

The skills you gain are directly applicable to various HR functions:

Recruitment: Optimize your recruitment processes by analyzing recruitment funnels and measuring hiring effectiveness.
Retention: Develop strategies to enhance employee engagement and retention based on lifecycle analysis.
Performance Management: Use performance analytics to drive productivity and identify areas for improvement.
Strategic Planning: Apply predictive analytics to forecast HR trends and design experiments to test new initiatives.

Career Relevance

Mastering HR analytics can significantly boost your career:

Competitive Edge: Stand out in the job market with data-driven decision-making skills.
Strategic Role: Transition from operational to strategic roles within your organization.
Career Advancement: Open doors to higher-level positions that require analytical expertise.

Industry Alignment

The course aligns well with current industry trends:

Data-Driven Culture: Companies increasingly value data-driven decision-making, making HR analytics a sought-after skill.
Employee Value Maximization: Understanding and maximizing ELV is crucial for modern HR strategies.
Talent Management: Effective talent acquisition and management are pivotal for organizational success, and this course provides the tools to excel in these areas.