Tell us what's wrong and we'll take a look.
Thanks – we got it. We'll review and follow up if needed.
This is the essential guide for HR practitioners who want to gain the statistical and analytical knowledge to fully harness the potential of HR metrics and organizational people-related data.
The ability to use and analyse data has become an invaluable skill for HR professionals to not only identify trends and patterns, but also make well-informed business decisions. The third edition of Predictive HR Analytics provides a clear, accessible framework for understanding people data, working with people analytics and advanced statistical techniques.
Readers will be taken step-by-step through worked examples, showing them how to carry out analyses and interpret HR data in areas such as employee engagement, performance and turnover. Learn how to make effective business decision with this updated edition that includes the latest materials on predicting attrition with machine learning, biased algorithms and data protection, supported by online resources consisting of R and Excel data sets.
Daisung Jang is an Assistant Professor at Melbourne Business School. He has over a decade of experience in data visualization and analysis using R. He has conducted workshops for PhD students and academic staff on statistical analyses using R.
Readwise Books is an ebook & audiobook platform that automatically logs how much you and your friends read, making it fun and easy to read more. Learn more →
Enter your email to continue. We'll create your account if you're new here.