Hands-on HR Analytics Course : Employee Satisfaction using R

3.5 /5

Hands-on HR Analytics Course : Employee Satisfaction using R
at
UDEMY
Overview

Duration	4 hours
Mode of learning	Online
Difficulty level	Beginner
Credential	Certificate
Future job roles	Advanced Financial Modeling, Accounting

Skills you will learn

Who should do this course?

Managers who want to make data-driven decisions about employee, teams and their management practices.
HR Professionals who want to measure and improve employee satisfaction in their organization.
Business Owners and Entrepreneurs.
Students or any individual who want to advance into HR.

What are the course deliverables?

End-to-End Statistical project on Employee Satisfaction Using Factor Analysis in R.
Master practical skills to solve HR business problem using Step-by-step approach called 'Anatomy of a Statistical Model'.
Understand how employee satisfaction affect business in terms of money?
Convert Employee Satisfaction business problem into a Statistical problem.
Understand how to discover and collect data.
Understand how to prepare and explore the data for meaningful insights.
Apply the dimension reduction technique to find significant factors for Employee Satisfaction.
Extract major findings and insights from the statistical solution.
Understand how the insights will help leaders make strategies and policies to improve employee satisfaction.

More about this course

This hands-on project-based course offers an end-to end statistical project, guiding you to develop and master practical skills to solve any HR business problem using Step-by-step approach called 'Anatomy of a Statistical Model for HR Analytics'.
This is the tutorial you've been looking for, to start building a portfolio of great HR Analytics projects. This without any doubt, is one of the best ways you can advance your data science career.
In fact, when we spoke to data science recruiters and hiring managers all over the world, we heard the same thing over and over again: data science portfolios and Git-hub repositories are among the first things they look at. Employers want to see if you can really do the job you're being hired for, so having real-world projects to prove your skills you're claiming on your resume is a must, whether or not you have a fancy degree.