Power BI beginner to advanced course review

Our analysis

This English-language Microsoft Power BI course covers, according to its syllabus, the full life cycle of a report: importing, cleaning, modeling, calculating with DAX, designing and publishing. We would recommend it to people comfortable in English who want an end-to-end view in a single course, including sharing reports in the Power BI service, a step that several introductory courses leave out.

Who it is for

• Power BI beginners who follow technical content in English without trouble.
• Excel users who want to move to more interactive visualizations.
• Business professionals who need to build dashboards and share them with their team.

What it covers

• Importing and preparing data from multiple sources.
• Cleaning and transforming data with Power Query.
• Building the data model and defining relationships between tables.
• Measures and calculations with DAX.
• Interactive dashboards with charts, slicers, KPIs and drill-downs.
• Publishing and sharing in the Power BI service, with sales, HR and finance projects.

What to keep in mind

• The course is taught in English, so you need comfortable listening comprehension.
• No prior Power BI knowledge is required; basic Excel helps, although the description says it is not mandatory.
• Going from beginner to advanced in one course usually means DAX and modeling reach an intermediate level; if you need complex calculations, plan for an additional resource.
• Publishing and sharing in the Power BI service normally requires a work or school account and, to share with others, whatever license your organization has set up.

Where it fits in a path

Before starting, it helps to handle tables and basic formulas in Excel; the guide "How to learn Excel for work" is a good refresher. This can be your main course within "How to learn Power BI from scratch" if you prefer to study in English. Afterwards, learn SQL with "How to learn SQL from scratch" to feed your reports from databases, and check the "Data analyst roadmap" to decide whether your next step is deeper DAX, Python or both. If you are torn between this and other options, "How to choose a Udemy course" gives you criteria for comparing curricula.

TintoDev analysis based on the course syllabus, approach and level. Check the free preview on Udemy before buying.