Financial Analysis with Power BI

In this course you learn to turn financial data into interactive dashboards and reports with Power BI. You analyse KPIs, trends and variances without any programming knowledge.

4,6 on Google NRTO quality mark

Free cancellation up to four weeks before the start, so feel free to book now.

For a team or department? Arrange your own group, at your premises or ours. In-company for your team

In brief. Financial Analysis with Power BI is a 2-day classroom course. You take it in Amsterdam and Rotterdam, in a group of no more than 8 participants. The price is € 1190,- excl. VAT per participant, including course materials, lunch on location and a certificate of attendance. For a team or department we also deliver this course in-company.

  • From raw figures to visual insight
  • Directly applicable to your own financial data
  • Interactive dashboards that tell your story
  • KPIs and variance analyses within easy reach
  • Take your own dashboard home with you
Bart

Your trainer: Bart 497 evaluations in total, averaging 8.8. View the trainers

Your financial figures are ready, but the real insight is still missing. With Power BI you turn your data into interactive dashboards and clear analyses. Without any programming knowledge, you go from raw figures to convincing financial reports.

Description

Your financial figures are in Excel or in your accounting package, but you want to get more out of them than separate overviews. In this Financial Analysis with Power BI course you learn how to turn financial data into interactive dashboards and clear reports without any programming knowledge.

On the first day you work with Power BI sample files and practice data. You import data from Excel, CSV and accounting packages, clean it up with Power Query and build financial tables around financial year, month and cost centres. You will also be introduced to simple DAX formulas and your first visualisations.

The second day focuses on financial analysis and reporting. You calculate KPIs such as EBITDA, margin, cash flow and ROI, carry out variance and trend analyses, and build interactive dashboards with drill-through and slicers. Finally, you work on your own practical case and are given tools to present your insights convincingly to management.

You receive reference material, the checklist 'Your first financial dashboard' and a set of commonly used templates for financial dashboards. The course is classroom-based and includes plenty of practical assignments, so that you get to grips with Power BI straight away.

Topics

During this course you will work on the following topics using practical assignments:

Day 1. The basics of Power BI for financial data

  • Exploring Power BI: environment, components and data model
  • Importing data from Excel, CSV and your accounting package
  • Cleaning and transforming data with Power Query
  • Building financial tables: financial year, month and cost centres
  • Simple DAX formulas for totals, averages and growth percentages
  • Building your first dashboards with tables, bar charts and maps

Day 2. Financial analysis and reporting

  • Calculating KPIs: EBITDA, margin, cash flow and ROI
  • Variance analyses: budget versus actuals
  • Trend analyses and moving averages
  • Interactive dashboards with drill-through and slicers
  • Layout and storytelling: how do you present data to management?
  • Practice case: build your own financial dashboard

Result

After this course you turn financial data from Excel, CSV or your accounting package into clear reports with Power BI in no time. You import and structure your data, clean it up with Power Query and build financial tables around financial year, month and cost centres.

Using DAX formulas you calculate KPIs such as EBITDA, margin, cash flow and ROI, and visualise profit, liquidity and other key figures in no time. Variance analyses (budget versus actuals), trend analyses and moving averages will no longer be a mystery afterwards.

You know how to build interactive dashboards with drill-through and slicers, and how to present them in an understandable way to management. You automate periodic reports, so that you can support financial decisions with visual insights. You go home with your own financial dashboard that you can build on straight away.

Target audience

Do you work a lot with financial data and would you like to get more out of it without having to program? Then this course suits you. You will learn how to visualise financial reports and insights clearly with Power BI.

The course is suitable for, among others:

financial controllers and business controllers, accountants, finance & control staff at profit and non-profit organisations, project controllers, team leaders with budget responsibility.

A good knowledge of Microsoft Excel is important. Experience with Power BI is useful, but not a requirement. You do not need any programming knowledge.

Teaching method

You follow this course in a classroom setting in a small group, so that you receive plenty of personal attention from an experienced trainer with a background in finance. The emphasis is on doing it yourself: following a clear step-by-step plan, you work with Power BI sample files and realistic practice data from the financial world.

Theory and practice alternate throughout. After each explanation you get straight to work on exercises, so that you really get to grips with Power BI. On day 2 you build your own financial dashboard during a practical case, which you can continue to use after the course.

You receive a reference guide, the checklist 'Your first financial dashboard' and a set of commonly used templates for financial dashboards. Optionally, you get access to our recorded video explanations so you can review parts at your own pace later on. Afterwards, you receive a certificate of participation.

Prior knowledge

You are comfortable with Excel. Experience with Power BI is useful, but not a must. You do not need any programming knowledge.

Comments

Have you taken this course? Deepen your knowledge with one or more of the following follow-up courses: • Power BI Advanced: in-depth DAX and performance optimisation • Power BI for Forecasting & Budgeting • Finance meets Data Science (Power BI with Python or R) • Dashboard Design & UX for financial reporting

Practical information

Number of days
2 days
Course times
from 10 am to 5 pm
Teaching hours
12 hours
Education level
Suitable for all levels
Preparation time
None
Included
Course materials and lunch on site
Certificate
At the end of the course you will receive a certificate of attendance
Cancel
Free up to four weeks before the start (cancellation terms)

Language

The course is given in Dutch as standard. The trainer speaks English. English-language course materials can be used. If at least 3 participants register, the course can also be given entirely in English.

In-company

Would you like to organise this training for a whole group or several groups? This can be cost-effective. For example, we can tailor the content entirely to your organisation, and training a whole group is also cheaper.

Are you looking at large numbers of participants or a complete academy? That involves a great deal. Consider planning and communication, for example, or identifying and agreeing the objectives and content of the training. Or differences in level, feedback mechanisms and safeguarding. Fortunately, Learnit has extensive experience in this field (more than 25 years) and we are happy to help you through this process.

Request a quote More about Financial Analysis with Power BI in-company

All start dates

2 training days. In order of date.

  • Wed 23 & Thu 24 December 2026 Amsterdam · 10:00–17:00Free cancellation until 25 November Enrol
  • Tue 17 & Wed 18 August 2027 Rotterdam · 10:00–17:00Free cancellation until 20 July Enrol

No suitable start date? Send us a date request, and we'll look at the options together.

This course by city

This course for your team?

Plan your own group on a date that suits you, at your office, at our premises or online. We tailor the content to your day-to-day work, and training a whole group is cheaper than individual bookings.

  • Your date and location
  • Tailored content
  • Multiple groups or an academy are also possible
  • More than 25 years' experience
Request a quote No obligation, an adviser will be in touch shortly How in-company works

The trainers for this course

Ratings from participants after completing their course, across all courses by this trainer.

What others say about this course

"A nice, practical course that you can immediately put to use in practice."

Participant

"Learned lots of handy tricks"

Participant

"Useful and interesting course!"

Participant

"Good story, knowledgeable and inspiring, with a dose of humour too"

Participant

"I thought it was a very good course and I think I learned a lot from it. I also got tips that you can really do something with."

Participant

Training formats

Classroom

2 days€ 1190,-
  • Pleasant venue with a good trainer
  • Small groups
  • Inspiring and motivating
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In-company

Bespoke trainingOn request
  • 100% for your group
  • Bespoke training
  • At your place or ours
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Workshop

Up to 4 hours for groupsOn request
  • Suitable for events
  • Interactive and inspiring
  • Large groups too
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Private training

At our place or yoursOn request
  • 100% just for you
  • Achieve a lot in little time
  • Whenever you want
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Frequently asked questions

Can I cancel free of charge?

Yes. Up to four weeks before the first day of the course you can cancel free of charge, without giving a reason. You then receive a credit note or, if you have already paid, a refund. If you cancel later, you pay part of the course fee: 25% between four and two weeks before the start, 75% in the two weeks before it and 100% in the final week. Moving to another start date is free of charge up to two weeks before the start, after that 50%. Sending a colleague in your place is always possible. Read the cancellation terms.

What prior knowledge do I need for the Financial Analysis with Power BI course?
You need a good knowledge of Microsoft Excel to take this course. Experience with Power BI is useful, but not a requirement. Programming knowledge is not needed: you work with ready-made functions and visual tools. The course is suitable for financial controllers, accountants, business controllers and finance staff who want to get more out of their figures without programming.
Who is the Financial Analysis with Power BI course intended for?
The course is intended for finance professionals who want to get more out of their figures without programming. Think of financial controllers, business controllers, accountants, finance & control staff, project controllers and team leaders with budget responsibility. Do you work with financial data in Excel or an accounting package every day and would you like to turn it into interactive dashboards and analyses? Then this classroom course suits you.
Which topics are covered during the Financial Analysis with Power BI course?
During the Financial Analysis with Power BI course, you learn the basics on day 1: importing data from Excel, CSV and accounting packages, cleaning it up with Power Query, building financial tables and applying simple DAX formulas. On day 2 you work with KPIs such as EBITDA, margin and cash flow, variance and trend analyses, interactive dashboards with slicers and drill-through, and storytelling aimed at management.
Do I receive a certificate after the Financial Analysis with Power BI course?
Yes, on completion of the Financial Analysis with Power BI course you receive a certificate of participation. You also go home with a comprehensive reference work, the checklist 'Your first financial dashboard' and a set of commonly used templates for financial dashboards. Optionally, you get access to recorded video explanations, so that you can review what you have learned at your leisure afterwards.
What is the difference between Power BI and Excel for financial analysis?
Power BI is built for interactive dashboards, large datasets and automated reporting, whereas Excel is stronger for individual calculations and ad-hoc analyses. In the Financial Analysis with Power BI course you learn how to import financial data from Excel or your accounting package and turn it into visual KPI dashboards. That way you combine the best of both tools for management reporting.
When should I choose this classroom course instead of self-study online via YouTube or Microsoft Learn?
Self-study via YouTube or Microsoft Learn is free and flexible, but you often get stuck on specific financial questions: how do you build a correct financial year calendar, which DAX formula suits a variance analysis, how do you link data from your accounting package to a budget file? This classroom course You work with financial practice data under the guidance of an experienced trainer and receive direct feedback on your own dashboard. Choose this course if you want to deliver a working dashboard within two weeks, if you are getting stuck on DAX or Power Query, or if you prefer to learn in a small group with fellow professionals from finance. Choose self-study if you have no deadline and are prepared to work out for yourself which parts are relevant to financial analysis.
How does this course compare with a Power BI course for data analysts or marketers?
The Financial Analysis with Power BI course focuses entirely on financial data and reporting. General Power BI courses cover Power BI broadly, with examples from marketing, sales or operations. In this course you work on cases involving financial years, cost centres, budget versus actuals, EBITDA, margin, cash flow and ROI. The DAX formulas and data models have also been chosen to reflect what a finance professional encounters in practice. You will also receive templates for financial dashboards and the checklist 'Your first financial dashboard'. Choose a general Power BI course if you mainly analyse commercial or operational data. Choose this course if you work as a controller, accountant or finance employee and want to build reports, KPIs and management dashboards around financial figures. The course is taught in a classroom setting.
What follow-up steps can I take after this course if I want to specialise further in Power BI for finance?
After the Financial Analysis with Power BI course there are four logical directions for going deeper, depending on where you want to grow. Would you like to go further into the technical side? Then choose Power BI Advanced, focusing on DAX in more depth and performance optimisation. Do you work a lot with forecasts and planning? Then Power BI for Forecasting & Budgeting is a better fit. If you want to take the step towards predictive analysis, for example adding Python or R, then Finance meets Data Science is a good follow-up choice. If your interest lies more in the presentation and usability of reports, choose Dashboard Design & UX for financial reporting. The basic course lays the foundations; the follow-up courses build on them. You do not have to take them all. Choose on the basis of your role and the questions that arise in your own practice.
How soon after the Financial Analysis with Power BI course can I actually deliver a dashboard at work?
You go home with your own working dashboard that you can develop further. That is deliberate: in the practice case on day 2 you start from your own financial context, so you don't have to start from scratch back at the office. In practice this produces the following rhythm: in the first week after the course you can import your own data via Power Query and deliver a basic report with KPIs such as margin, EBITDA and cash flow. For variance analyses (budget versus actuals) and interactive elements such as drill-through and slicers, allow for two to four weeks of additional practice. A full management dashboard with a storytelling layer takes longer, depending on how clean your source systems are. The reference material and the checklist 'Your first financial dashboard' will help you along the way.
Can I use my own financial data from our accounting package during the course, or do I only work with practice files?
During the course you will mainly work with Power BI sample files and practice data supplied by Learnit. That is a deliberate choice: everyone works with the same dataset, so that the trainer can explain step by step how to import data, clean it up with Power Query and apply DAX formulas. On day 2 you build your own financial dashboard in a practice case. Would you like to work with your own figures from Excel, CSV or an accounting package? That is often possible in consultation with the trainer during the hands-on moments, provided you can export the data securely beforehand. For a full set-up based on your own company data, an in-company course is usually more sensible than a classroom course. You will, however, go home after the course with a dashboard you can build on further.
Which DAX formulas and KPIs will I actually learn to calculate during this course?
On day 1 you start with simple DAX formulas for totals, averages and growth percentages. On day 2 you move on to financial KPIs: EBITDA, margin, cash flow and ROI. You will also build variance analyses (budget versus actuals), trend analyses and moving averages. In addition, you will work with drill-through and slicers to make dashboards interactive. The course focuses on applied DAX for finance, not on the language as a whole. For more in-depth DAX topics such as time intelligence, CALCULATE patterns or performance optimisation, you can take the follow-up Power BI Advanced course. In this course you therefore lay the foundation you need to automate standard financial reporting, including a practice case in which you build your own financial dashboard.
What does the Financial Analysis with Power BI course cost and how long does it take?

You can find the current price at the top right of this course page, along with the schedule, location and delivery format. For in-company or bespoke courses we are happy to provide a quotation on request.

Next start date: Wed 23 & Thu 24 December 2026 in Amsterdam

Free cancellation up to four weeks before the start, so you can secure a place now.

€ 1190,-excl. VAT · next start Wed 23 Dec
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