Online Course – Google Certified Professional Internship in Employee Management

Managing People in Data-Driven Organizations. Learn the key issues in people management and data-driven HR practices.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Gain insight into the evolution and current context of workforce management in organizations
  • Identify and use key concepts related to workforce management (WFM)
  • Understand the different options and steps in implementing WFM
  • Get to know the trends and best practices in the field of WFM
  • Delve into data science and data engineering
  • Get to know the main tools in the market
  • Understand the key AI and machine learning models brewing in the market

What you will learn in the course

Courses for which the course is suitable

  • Human Resources Manager
  • Human Resources Manager
  • Human Resources Data Analyst
  • Project Manager in the field of employee management
  • Organizational consultant
  • Team Manager
  • Corporate Culture Manager
  • Artificial Intelligence Expert in Human Resources
  • Employee Welfare and Satisfaction Manager
  • Human Resources Information Systems Manager

Internship – a four-part course series

The purpose of this course program is to present how, in the modern global era driven by data and artificial intelligence, employee management in organizations has become a vital and strategic part of data-driven organizations. Proper management not only brings organizational benefits but also improves aspects such as organizational culture, teamwork, well-being and employee satisfaction.

This course provides the student with the necessary understanding of the needs of employee management in the modern era, as well as the key concepts and practices of data-driven human resources.

At the end of the program, you will be able to:

  • Gain insight into the development and current context of workforce management in organizations;
  • Identify and use key concepts related to workforce management (WFM);
  • Understand the different options and steps in implementing WFM;
  • Get to know the trends and best practices in the field of WFM;
  • Delve into data science and data engineering;
  • Get to know the main tools in the market;
  • Understand the key artificial intelligence and machine learning models being cooked up in the market.

Hands-on Learning Project

This full course program does not require the development of an applied project. Assessment activities take place throughout each course. Each course includes four assessments at the end of each module, with a total of 16 assessments throughout this program.

Details of the courses that make up the specialization

Introduction to Employee Management

Course 1 – 22 hours

Welcome to the Introductory Course to Workforce Management. In this course, you will learn the basic principles of Workforce Management (WFM), presented in a practical way that can be applied to your reality.

At the end of the course, you will be able to understand in depth the WFM processes in organizations, which will allow you to determine the most significant human resources strategies and implement initiatives in the field.

The course includes four modules, offered during the learning weeks. Each module includes videos, readings, and tests to test knowledge.

Good luck with your studies!

Skills you will acquire

  • Strategic Human Resource Management
  • Data-driven human resource management
  • Data Analytics
  • Data-driven organization

Introduction to Information Science and Engineering

Course 2 – 30 hours

In this course, you will learn that data has become the most important asset in business today. The course consists of four modules, delivered over the course of weeks.

At the end of the course, you will be able to understand the entire data science process and the use of technology in a connected world.

Good luck with your studies!

Skills you will acquire

  • Big Data
  • Data Science
  • Data Engineering
  • Data mining
  • Artificial Intelligence

Data Science Tools: Introduction to R

Course 3 – 0 minutes

Welcome to the Data Science Tools: Introduction to R course. In this course, you will discover that the world has evolved greatly when it comes to data-driven decision making.

At the end of the course, you will be able to familiarize yourself with the main tools on the market and learn the basics of the R language.

  • Tools for data science
  • Get to know the R language
  • Using a development environment
  • Installing and using libraries in R
  • Writing functions in R
  • Reading, writing, and manipulating data
  • Graphical analyses

Human Resources, Data, and Artificial Intelligence

Course 4 – 27 hours

Welcome to the Human Resources, Data, and Artificial Intelligence course. In this course, you will learn that digital transformation in HR is the reorganization and redesign of employee management functions.

At the end of the course you will be able to understand topics such as:

  • Digital transformation in human resources
  • Steps to becoming a data facilitator
  • Challenges facing data-driven HR
  • Artificial Intelligence Fundamentals
  • Machine learning
  • Modeling application

Good luck with your studies!

Skills you will acquire

  • Data-driven HR
  • Machine learning
  • Artificial Intelligence