HR Analytics Free Course with Certificate
HR Analytics Course
Learn HR Analytics From Basics In This Free Online Training. This free HR Analytics course Is Taught Hands-On By Experts. Learn about Levels of HR Analytics, Foundation required for it along with Myths and Challenges.
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About this course
This HR Analytics course covers the basics, levels, and benefits of HR analytics. We will delve into descriptive, predictive, and prescriptive analytics, and also cover the foundation required for successful implementation, including statistics, data management, and data visualization. Furthermore, we will explore the myths and challenges surrounding HR analytics, including common misconceptions and potential roadblocks. We will provide ways to overcome these challenges and effectively leverage HR analytics to improve human resources management decisions. By the end of this section, learners will have a clear understanding of HR analytics and its potential to add value to their organizations.
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Frequently Asked Questions
What are the prerequisites required to learn this HR Analytics course?
You do not need any prior knowledge except knowing what Human Resources is to learn this HR Analytics course.
How long does it take to complete this free HR Analytics course?
HR Analytics is a 1.5 hours long course but it is self-paced. Once you enroll, you can take your own time to complete the course.
Will I have lifetime access to the free course?
Yes, once you enroll in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can login and learn whenever you want to.
Is it worth learning HR Analytics?
Yes, it is 100% yielding to learn HR Analytics. The subject focuses on catering the best base for you to kick start your journey in the field by giving you knowledge on everything you need to know.
Is the HR Analytics course a certification course?
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HR Analytics Course
Human resources (HR) analytics, also known as talent analytics or people analytics, is the application of statistical methods and data science techniques to analyze HR data, enabling organizations to make data-driven decisions about their workforce. In this article, we will discuss some key subheadings to help you understand HR analytics better.
Importance of HR Analytics
HR analytics can provide crucial insights into employee behavior, performance, and productivity, enabling organizations to identify opportunities for improvement in their HR practices. It can help HR professionals understand employee engagement levels, the effectiveness of their recruitment and retention strategies, and the impact of training and development programs.
Key Metrics
HR analytics uses several key metrics to measure the performance of an organization's workforce. These metrics include:
- Turnover Rate: This metric calculates the number of employees who leave an organization within a specified period. High turnover rates can indicate a problem with employee satisfaction or organizational culture.
- Time-to-Hire: This metric measures the time it takes to fill a job vacancy, from posting the job to making an offer. A long time-to-hire can indicate inefficiencies in the recruitment process.
- Absenteeism: This metric measures the percentage of employees who are absent from work on any given day. High levels of absenteeism can indicate low employee engagement or health issues.
- Employee Engagement: This metric measures employees' level of commitment and enthusiasm for their work and the organization. High employee engagement can result in increased productivity and improved retention rates.
HR Analytics Tools
HR analytics tools can range from simple spreadsheets to sophisticated analytics platforms that use machine learning algorithms to analyze and interpret HR data. Some popular HR analytics tools include:
- Tableau: A data visualization tool that allows users to create interactive dashboards and reports.
- SAP SuccessFactors: An HR management system that includes analytics capabilities.
- Visier: A cloud-based analytics platform designed specifically for HR professionals.
- Oracle HCM Cloud: An HR management system that includes predictive analytics capabilities.
Data Security and Privacy
Organizations must have clear policies and procedures for collecting, storing, and analyzing employee data to ensure that data security and privacy are maintained. HR analytics must comply with relevant data privacy laws, such as GDPR in Europe or CCPA in California.
Ethical Considerations
HR analytics can help organizations make unbiased decisions about hiring, promotion, and compensation. Still, it is crucial to consider the ethical implications of using employee data. Data scientists should ensure that data analysis is fair and unbiased and avoid discriminating against individuals based on protected characteristics such as race, gender, or age.
In conclusion, HR analytics can provide valuable insights into employee behavior, performance, and productivity, helping organizations make data-driven decisions about their workforce. It is essential to use the right HR analytics tools and ensure data privacy and ethical considerations while analyzing employee data.