human Resources
data analytics
Analytics to better understand people
Human Resources Analytics is a data-driven approach to apply many techniques and methods that are commonly used in the field of data analytics to better understand the behaviour and performance of people in organizations.
Specialized business training
Human Resource Analytics
This course has been designed to help you develop your skills related to the emerging role of the HR analytics professional so that you can apply what you have learned to generate better strategies using HR data. This course is an introduction to human resource analytics and is not intended to prepare participants to perform complex human resources (HR) data analysis.
What aspects will we cover?
The primary goal of this program is to teach you how data and analytics can be applied to people-related issues such as employee recruitment, training and development, performance appraisal, promotion, and reward management.
Course content
Here you will develop basic data literacy and an analytic mindset that will help you make better strategic analyses based on data.
In this section you will learn how to use data analytics to improve the quality of the decisions you make in getting the right people into the right jobs and helping them stay there.
In this module, you will learn how data analytics can be used in talent assessment and development to make your organization, and the people working within in it, more productive, effective, and successful.
Through a mini project we will put into practice everything learned in this course, emphasizing informed data-driven decisions about the employees.
Our Method
Decision Making Process
Decision to make - What is the question?
A clear statement of objectives allows you to optimize the resources used in the analysis.
Data sources
Identify data sources, quality, and availability.
Technological tools
Depending on the data and the complexity of the problem, the type of tool and methodology to be applied is established.
Decision model
Decision models allow a clearer evaluation of the different alternatives derived from the data analysis, thus facilitating decision-making.