People Data Analytics : Machine Learning For Human Resources

How to understand human processes integrated with data driven decision making which can be transformed into Automation

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People Data Analytics : Machine Learning For Human Resources

What You Will Learn!

  • How to Use Data for HR Decision making
  • Applying Machine learning algorithms to Business problems of HR
  • Managing Data projects in HR
  • They will Solve case studied as they study the course with the sample code given.

Description

How Analytics and AI technologies are used in Human Resource Management to make data-driven decisions in Human Resource Management to improve business productivity and facilitate expansion plans using its own invested Human Capital.

This course will give you an introductory view and help you design a plan of action to Machine learning procedures in your HR Unit within your organization as technology is only the furniture to help with business output and the blood of all technology process are data which requires understanding and testing for further uses.

Human capital not only revolves around training and development but also how companies manage and upgrade their command structures for responsible business practices. Today with increasingly complex individualism behavioural trends spreading towards all labour resource units due to the globalization of policy managerial mechanisms of firms and organizations, the need for data has become vital for an employment business.

Start-ups and Unicorn incubations are also creating new forms of employment cultures that have previously been unknown in conducting business thus using data analysis on labour inputs and outputs with the application of industry 4.0 technologies doing business have become far more complex as well as skill-based requiring constant training and development across all frontiers of labour markets.

End of the day people analytics is about improving labor productivity using data-based decisions.

Who Should Attend!

  • Beginners in Data Science and Analytics
  • Anyone curious and eager to develop themselves into better professionals

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Subscribers

69

Lectures

10

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