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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.

4.63
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Ratings

Beginner

Level

2.25 Hrs

Learning hours

26.8K+
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About this Free Certificate 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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Course Outline

Introduction to HR Analytics
Levels of HR Analytics
Foundation required for HR Analytics
Myths and Challenges of HR Analytics

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4.63
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Ratings & Reviews of this Course

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Sharvari Sonak

5.0

“Amazing Introduction to HR Analytics for a Fresher”
I recently completed the Introduction to HR Analytics course and couldn’t be more impressed! The expertly designed curriculum used real-life scenarios to make complex concepts easy to grasp. Our instructor, Abhijeet Lele, brought infectious enthusiasm that greatly enhanced the learning experience. His in-depth knowledge and engaging style kept me captivated. The comprehensive quiz challenged me effectively, reinforcing my understanding and sparking my excitement to explore HR analytics further. This course was truly worth my time!
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Drushti Chinchole

5.0

“Data Analysis Techniques and Their Impact on Decision-Making”
I enjoyed each concept explained. Now I can say that I have clarity in concepts very well. All the videos covered had appropriate content which was relevant to the course. After completing the HR Analytics course, I found it incredibly insightful and practical. It provided me with a solid foundation in data analysis techniques, helping me understand key HR metrics and their impact on decision-making. The course has enhanced my ability to make informed, data-driven strategies in HR management.
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Tuelo Pearl Molubi

5.0

“Growing in HR and Becoming Good at What I Do”
There is more to HR. A lot to learn and very exciting. I am in a position where I felt like what I know now is not enough and trying to upskill myself. The lecture did that for me. I am now more interested in pursuing this career and also excited that it will be beneficial. I cannot wait to explore more courses that you have. I had a lightbulb moment when he said Python can be used as an HR tool. I thought Python was for IT and Engineers. Now I'm eager to know more about it. And also eager to know more about business stats.
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Lucyll Grass

5.0

“Easy to Follow, Instructor is a Subject Matter Expert”
This is a good foundation for my pursuit of Data Science and Human Resource. It was easy to follow, and the instructor is a subject matter expert. The quizzes were relevant to the material learned.
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Isha Yadav

5.0

“HR Analytics Ideal for Professional Certifications”
Ideal for Professional Certifications. The Great Learning app is an excellent platform for anyone looking to advance their career with professional certifications. The courses are well-structured, and the content is detailed yet easy to understand. The flexibility of learning at your own pace is a huge plus, especially for working professionals or students managing multiple responsibilities. The certificates provided by Great Learning hold significant value, as they are recognized by industry leaders and enhance your resume.
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Danial Nazir

5.0

“Practical Examples and Case Studies Made Complex Concepts Easier”
I really enjoyed the structured approach of the course, which covered various levels of HR analytics, from descriptive to predictive. The quizzes were helpful in reinforcing my learning. The instructor's insights on the importance of data in making HR decisions were particularly valuable. Overall, the course has given me a solid foundation in HR analytics and equipped me with the tools to analyze and interpret HR data effectively.
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Michelle Elizabeth Hui

5.0

“Introduction to HR Analytics - Great!”
This was a super easy to understand quick intro into HR Analytics! It was easy to follow and gives a good foundation for anyone interested in the field.
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Rohini Dewari

5.0

“Basics of HR Analytics, Its Foundation and Decision-Making”
I was unaware of what HR analytics is all about and this course helped me in getting all the basic knowledge about the tools, business statistics, research methodology, and domain knowledge. Additionally, I also got to know about the myths and challenges faced while working with HR analytics.
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Jyoti Choudhary

4.0

“Practical Understanding of HR Analytics' Role and Application”
I appreciated how the course provided practical insights into HR analytics, especially in understanding how data-driven decision-making can enhance organizational performance. The real-world examples of descriptive, predictive, and prescriptive analytics helped clarify their application in HR, making the learning both relevant and actionable.
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Ayushman Trivedi

5.0

“Excellent Session of Introduction to HR Analytics”
It was very well explained and brought me more knowledge about HR Analytics.
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HR Analytics Course

2.25 Learning Hours . Beginner

Why upskill with us?

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1000+ free courses
In-demand skills & tools
access time
Free life time Access

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?

This HR Analytics course awards a certificate of completion, not a professional certification.

Why is HR Analytics so popular?

HR Analytics is an ever-growing concept and has a lot yet to be explored. It also makes a lucrative career option since significantly less competition and high scope.

Will I get a certificate after completing this HR Analytics free course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment. 

How much does this HR Analytics course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning HR Analytics and understanding the basics can start this course

Is there any limit on how many times I can take this free course?

Once you enroll in the HR Analytics course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

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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.
 

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