Data analysis and data visualization with Excel and Power BI
Using data competently - the practical course for data analysis with on-board tools
Understanding Data
- Fundamentals of Data Analysis and Data Science.
- Exploratory Data Analysis: What's Hidden in the Data?
- Identify location, distribution, and relationships.
Visualize data
- Represent comparisons, relationships, and rankings.
- Make compositions visible.
Transform Data
- Organize and consolidate data.
- Identify and resolve data issues.
- Special Considerations in Forecasting Analyses.
Evaluate Data
- Understand and apply regression models (statistical methods for analyzing relationships) .
- Evaluating model quality: Coefficient of Determination, MAE, and MSE(= measures of deviation).
"Data Transformation" Team Challenge
- Practical exercises in structuring, merging, and cleaning data sets.
In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.
- You clean and analyze business data in a structured way—using Excel and Power BI.
- You effectively identify the key insights from analyses and communicate them clearly.
- You effectively visualize data and tell a clear story with numbers.
- You are aware of common sources of error and critically evaluate your analyses.
- You'll apply what you've learned directly in two hands-on sessions using real data sets.
trainers-Input, presentations, practical exercises, group work, discussions, resources, and sharing of experiences
This introductory course is designed for professionals in all industries who want to understand data analysis and perform it independently using Excel or Power BI—no prior knowledge required.
Please note: Power BI Desktop is only available for Windows. Macusers can use the browser-based version (Power BI Service)—although the feature set is limited there. You can still participate in the course.
- Customized training courses
- Direct application in practice
- Efficient use of time and resources
Start dates and details
- one joint lunch per full seminar day,
- Catering during breaks and
- extensive working documents.