Course
NLQF Level 6, comparable to bachelor level
Beginner

Data Visualization with Power BI Course

Do you struggle with making data understandable and impactful? Our course teaches you data visualization skills with hands-on experience building dashboards in Power BI.

Duration
3 weeks (24 hours)
Time per week
8 hours

Who this is for

This fits you if

  • Anyone who wants to build dashboards and communicate data visually.

Another option may suit you better if

  • Your organisation uses Tableau or Looker rather than Power BI. Discuss it with a study adviser first.
  • Your challenge is the story rather than the tool. Take a look at Data Storytelling Course instead.

Not sure? Plan a free study advice call

Prerequisites

  • No prior Power BI experience required.

What you'll learn

  • How to build your own Power BI dashboard from scratch.
  • The most important tips and tricks for intuitive and effective data visualization.
  • How to use SQL to extract and prepare data for reporting.
  • How to leverage Azure to automatically feed data into your Power BI dashboard.

What you'll learn, module by module

  1. 1

    Power BI: ETL

    What Power BI is, loading and modelling data, and transforming data with Power Query — including an ETL assignment.

  2. 2

    Power BI: Calculations

    Calculating with DAX (incl. time intelligence), the most-used formulas, bookmarks, and publishing via Power BI Service.

  3. 3

    SQL & Data Engineering

    The full data spectrum and enterprise data architecture, with a step-by-step demo and assignments.

What a week looks like

The course runs for 3 weeks, and every week looks like this.

8 hours per week

5 hours

Self-study

Course material and exercises on our learning platform, whenever suits you.

1 hour

Live with your teacher

A fixed moment every week, online or at Science Park. Small group, so you get to participate.

2 hours

On your own work

Do the assignment on your own data and your own situation. No exercise files.

Teacher for this course

Ben Galili

Ben Galili

Python, SQL, Power BI, AI Agents

Ben has broad industry experience including eBay and Dell, and teaches across Python, SQL, Power BI, data storytelling, and AI agents in the Analytics and Data Engineering bootcamps.

First live sessions

These are the dates of each group's first live session with the teacher. You don't have to wait for them: as soon as you register, you get access to the learning materials and can start with the self-study.

  • 2026-11-12

    Soonest
  • 2027-01-07

  • 2027-02-18

None of these dates work for you? Let us know and we'll think along with you.

Choose your format

The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.

With your team

Your own team, any size

Most affordable per person from four participants.

  • From four participants
  • Built around your own cases
  • On location or remote
  • Subsidy often possible
€750 /person
Most popular

In a group

A small group of fellow students

The usual way: you share the teacher with a few others and follow a fixed schedule.

  • Fixed start date, fixed schedule
  • Small group of fellow students
  • Shared teacher
€995 /person

Individual

Just you

For anyone who prefers to work at their own pace.

  • Start whenever you want
  • Your own pace and planning
  • Teacher just for you
  • Personal guidance
€1.250 /person

Flexible payment

Payment options

Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.

Option 1

Through your employer

We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.

Option 2

With a government contribution

A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.

Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.

Option 3

Paying yourself

Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.

Frequently asked questions

How much time does this really take per week?
Count on around 8 hours a week: a few hours of self-study, a live session with your teacher, and time for your own assignment.
Do I need prior knowledge?
That depends on the course or bootcamp — check the "Who this is for" section on this page. If nothing is listed there, no prior knowledge is required.