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Certified HR ANALYTICS Professional (CHRAP)





HR has consistently been about individuals, and this remaining part genuine today. Nonetheless, given the quick advanced change in the present associations, the requirement for information driven dynamic has gotten fundamental. There is both a deficiency of explanatory ability inside HR and an expanding interest for these kinds of aptitudes. Right now, you will figure out how to source, break down, and imagine HR information to illuminate choices and suggestions. You will fortify your diagnostic keenness to settle on choices through examination and narrating. Through the utilization of information examination, you will be situated to inspect normal HR challenges around contracting top ability, drawing in the workforce, overseeing maintenance, and assessing workforce assorted variety all the more thoroughly. You will likewise apply a cost-based way to deal with decide the business effect and degree of profitability related with HR activities. Before the finish of this program, you will have built up the vital and deliberate estimates important to exceed expectations in HR analytics.


Essentials Of Analytics


Analytical skills are becoming a crucial job requirement for HR as organizations strive to become more data-driven. Unfortunately, there is a shortage of analytical talent to meet this need. Less than 20% of companies identify as having a strong HR analytics function in their business, and over 75% of HR professionals reported difficulty recruiting for essential data analysis positions. To remain competitive, organizations need to rapidly upskill their HR talent.



                                                   HR Analytics Framework



















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Applied Predictive Analytics in HR


As organizations strive to succeed in a continuously evolving world, talent must be continuously assessed and evaluated to ensure alignment with strategic goals. It is no longer acceptable to serve in a consultant capacity on problems that arise or to offer strategic advice based solely on experience and policy. Today, HR teams must partner with senior leadership in driving effective and efficient change based on solid data and analysis.

Predictive analytics help organizations anticipate and plan appropriately for the future. In this course, learners will apply rigorous measurement and analysis techniques to common HR areas involving hiring top talent, evaluating workforce diversity, engaging the workforce, and managing retention. Through activities and assignments, learners will explore foundational frameworks that are relevant to analyses ranging from basic descriptions to more advanced predictive models that involve machine learning, artificial intelligence, or big data. As learners examine key inputs and data sources, they will use data to predict patterns and trends in areas such as diversity, engagement, and performance. Ultimately, students will use metrics and analytics to assess the current talent landscape of an organization and outline recommendations as they create a presentation for senior leadership.

This course assumes a basic comfort level in working with HR data and analysis. It is designed to equip students with the concepts, tools, and language specific to key areas within HR analytics. The course provides examples using Excel. Other data analytics software will not be presented, although the information shared is transferable for those fluent in other programs.

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