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Learn how to analyze data and turn it into clear visuals

What is data analytics?

Data analytics is the process of transforming raw data into meaningful insights. It helps organizations understand what happened, why it happened, and what actions to take next.

The main steps include:

Exploring the data — reviewing available information and its quality
Identifying patterns — spotting trends, relationships, and anomalies
Interpreting results — understanding their impact on the business
Communicating insights — presenting findings clearly and visually

This track focuses on how analytics works in real workplaces, using practical examples instead of abstract theory.

What you will learn

You will develop a strong foundation in both analytical thinking and visual storytelling.

Topics include:

✔ A step-by-step approach to analyzing business data
✔ How to spot trends, patterns, and performance gaps
✔ How to match different chart types with different data questions
✔ How to build clear and functional dashboards in Power BI
✔ How to turn numbers into meaningful visual messages

The focus is on understanding why each method is used and how it supports better decisions.

Why visualization matters

Data visualization is more than creating charts — it’s a method of communicating information clearly.

Effective visualization means choosing the right format, understanding when a bar chart, line chart, table, or another visual best supports the message.

The goal is always to clarify, not complicate, the story behind the data.

Understand complex information faster

Visuals simplify large datasets, making patterns and relationships easier to grasp at a glance.

Identify the key insights without distractions

They highlight the most important findings so viewers can focus on what truly matters.

Compare results, trends, and alternatives easily

Side-by-side visuals make differences and changes clearer than raw numbers alone.

Detect patterns or issues that might be missed in raw data

Visual formats reveal anomalies, trends, and behaviors that spreadsheets can hide.

Avoid misinterpretation with well-chosen chart types

Selecting the right visual format prevents confusion and supports accurate understanding.

Make confident, data-driven decisions

Clear, trustworthy visuals help teams move from data to action with greater certainty.
Hanna de Gruijter Data Scientist

Such a fun and educational course! Well-structured in terms of topics and sequence. And especially the assignments were very enjoyable to work on. The instructor has put a lot of effort into them. There was plenty of information from the lessons combined with Google and documentation of Python libraries to complete the assignments. While working on the assignments, you get to know Python better with each task.

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Study advice

If you’re interested in one of our courses aren’t sure which program suits you best, schedule a free counseling call with our study advisor. We will help in getting to the next phase of your career. 

Schedule a call of 30 minutes with our study counselor, Olivier van Hees.

Do you have a question?

If you have any question about our courses please fill in the contact form and we get in contact with you. For urgent matters you can also give us a direct call on +31850049642.  

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Study advice needed?

If you’re interested in one of our courses but unsure which program suits you best, schedule a free counseling call with our study advisor. We’ll help you take the next step in your career.

Olivier van Hees
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