Data Analyst

In this training, you will develop the skills to analyze, interpret, and visualize data using SQL, Power BI, and Python. The course is specifically designed for professionals who regularly work with Excel and are ready to take the next step toward becoming a data analyst. The program consists of two or three modules, spread over 4 or 6 days. You can choose which modules you want to follow.

The training is divided into three modules: SQL, Power BI, and Python. In the SQL module, you will learn to write advanced queries and retrieve data from various databases. The Power BI module focuses on building interactive dashboards, and combining data from multiple sources into clear and compelling visualizations. In the Python module, you will learn how to analyze data and automate processes using this powerful programming language—helping you work faster and with fewer errors.

You will learn

  • How to retrieve and manage data using SQL, enabling you to work effectively with different types of databases
  • How to build interactive dashboards with Power BI, presenting data clearly and convincingly
  • How to analyze and automate data workflows using Python, so you can generate insights more efficiently and reliably

Topics

  • SQL: advanced query writing, retrieving data from databases
  • Power BI: connecting to various data sources, building dashboards and visualizations
  • Python: basic data analysis, automating analysis with libraries such as Pandas and NumPy
  • Cleaning, filtering, and transforming data
  • Visualizing and reporting data
  • Practical applications and best practices in data analysis

Who should attend?

This training is designed for (aspiring) data analysts, Excel professionals, and other professionals looking to deepen and expand their data analysis skills.

Prior knowledge

No specific prior knowledge is required. However, some experience with data analysis in Excel is recommended.

Price per person

€ 2.850,-  (excluding VAT)

Duration of this course

6 days

Course dates

2 - 29 july 2025
6 - 29 august 2025
3 - 23 september 2025
1 - 24 october 2025
5 - 25 november 2025
3 - 19 december 2025

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