HR Analytics in Power BI

Connecting and Visualizing Human Resources Data Using Power BI

Ratings 3.54 / 5.00
HR Analytics in Power BI

What You Will Learn!

  • Aggregate and combine Human Resources data in Power BI
  • Connect transactional data in Power BI
  • Build relationship between related data sources in power BI
  • Create comprehensive reports and interactive dashboard with Power BI
  • Create a wide range of visualization by just dragging and clicking

Description

If you are new to power BI, this course is for you. The focus of this course is to provide you with simple guide on how to import, connect and visualize Human Resources data in power BI . This course takes a practical perspective so that you can learn and practice at the same time using datasets dummy datasets. The course provides you with the fundamentals you need to work with power BI effectively. You will understand the flow of using power BI, from connecting to various data sources, importing these to power BI, transforming the data and then presenting it effectively. Power BI is a suit of business analytics tools that delivers insights, data processing and data visualization.

Why Power BI?

Power BI gives you real time visibility into your data allowing you to generate greater insights into your Human Resources Key Performance indicators. You build dashboards that are easy to adopt and use.

What you will learn;

  • Learn how to aggregate and combine Human resources data in power BI

  • Learn how to Connect transactional data in Power BI

  • Learn how to build relationships between related data sources in power BI

  • Learn how create comprehensive reports and interactive dashboards with Power BI

  • Lean to easily create a wide range of visualization by just dragging and dropping

In this course, dummy datasets have been provided to enable you learn and practice

Who Should Attend!

  • Huma Resource professionals who want to learn how to create reports and interactive dashboard in Power BI

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Tags

  • Microsoft Power BI
  • HR Analytics

Subscribers

2153

Lectures

8

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