Microsoft Excel & Power BI Course
Turn your data into a competitive advantage. This course teaches you how to leverage the combined power of Microsoft Excel and Power BI—leading tools for analytics and Business Intelligence. From cleaning and modeling data in Excel to building dynamic dashboards and interactive reports in Power BI, you’ll gain the skills needed to extract key insights and optimize decision-making across your organization.
What you will learn
- Understand the fundamentals of the subject.
- Build practical skills with guided exercises.
- Apply your knowledge in a final project.
Quick facts
- Modality: On-site or live online
- Certificate: Yes
Turn your data into a competitive advantage. This course teaches you how to leverage the combined power of Microsoft Excel and Power BI—leading tools for analytics and Business Intelligence. From cleaning and modeling data in Excel to building dynamic dashboards and interactive reports in Power BI, you’ll gain the skills needed to extract key insights and optimize decision-making across your organization.
Turn your data into a competitive advantage. This course teaches you how to leverage the combined power of Microsoft Excel and Power BI—leading tools for analytics and Business Intelligence. From cleaning and modeling data in Excel to building dynamic dashboards and interactive reports in Power BI, you’ll gain the skills needed to extract key insights and optimize decision-making across your organization.
Contact us for details about this service.
This is what your data could look like
We transform the complexity of your data into rigorous analysis that reveals the key insights for your thesis, market research, project, or business. We provide the clarity you need to interpret results, predict trends, and prepare to make decisions or support findings with solid evidence. We have the perfect solution for you.
Monthly trend
Distribution by segment
Customer segmentation (k-means)
Grouping by spend and frequency
Prediction (regression)
Fitted model over observed data
Variable importance (random forest)
Which factors drive the outcome