Overview
In Microsoft Power BI - The Practical Guide from Udemy you will learn why Power BI offers you a comprehensive set of Business Intelligence tools for your data analysis goals and how to use these tools to fulfill all of the above tasks - and more. Imagine to quickly structure your data, to easily add calculations to it and to create and publish nice-looking charts in just a few minutes.
Students at Microsoft Power BI - The Practical Guide from Udemy will:
- be able to analyse data from different data sources and create their own datasets
- be able to comfortably work with the different tools of the Power BI universe and know how the different tools work together
- have the required knowledge to dive deeper into Power BI and find out more about its advanced features
Programme Structure
Courses include:
- Power Bl Desktop
- Working in the Query Editor
- Understanding the Data Model: Data & Relationship View
- Creating Visuals in the Report View
- Taking the Project to the Cloud with Power Bl Pro (Service)
- Other Data Sources
- How to Stay Up-to-Date in the Power Bl World?
- Creating Custom Visuals (Power Bl for Developers)
- Course Round Up
Audience
- People who never worked with Power BI and who want to understand how to use these tools
- Anyone who is interested in learning how to connect the different Power BI tools with each other
- People who want to understand how to create customized visuals with the Power BI Developer tools
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Business Administration Information Technology (IT) Computer Sciences View 739 other Short Courses in Computer Sciences in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- For the majority of the course you must have a computer with Windows as operating system
- Basic understanding of data analysis is a plus but not required
- For multiple modules of this course a work or school email address is required to sign up
Tuition Fee
-
International
125 USD/fullTuition FeeBased on the tuition of 125 USD for the full programme during 1 days. -
National
125 USD/fullTuition FeeBased on the tuition of 125 USD for the full programme during 1 days.