Online course
4 weeks
4 chapters + 4 exercise projects
Entry level
German or English
Certificate of completion
In the first chapter, you will learn why data-driven decisions are important and what the workflow of data analysis looks like. You will learn the most important basic functions of Microsoft Power BI – including data, model, and report views, as well as filtering features. You will load multiple datasets in the data view to create a data modeland create your first report.
In the second chapter, you will learn through hands-on exercises the best practices of data visualization and how you can change and format visualizations. Power BI offers visualizations that you can use in reports and dashboards. You will learn how to avoid typical mistakes and get guidelines on how to present graphics in a comprehensive way. Afterwards, you will learn how to use the Power Query Editor with the help of the Power BI Desktop for data processing and linking different data sources.
In the third chapter, you will learn how to arrange your reports and analyses in dashboards and communicate them to relevant stakeholders in an efficient and easy-to-understand way using the key principles of data storytelling. You will also learn advanced BI skills. To do this, you will learn the basics of Data Analysis Expressions (DAX language). You will learn basic concepts and best practices for incorporating DAX into your reports and learn to write complex DAX code for calculations to generate columns, metrics, and tables.
The fourth chapter focuses on basic concepts of statistics. We provide you with the best practices for valid statistical data analyses. Finally, you will explore advanced business intelligence methods based on statistics and machine learning. At the end, you will be able to use drillthrough to drill down across pages and perform influence factor analysis.
Yes, our online training courses should offer you the greatest possible flexibility. Basically, we recommend planning six to eight hours a week for studying. When you want to schedule this time is up to you and is not prescribed by us. In our career paths, the Data Analyst and Data Scientist course, we offer you live webinars where you can ask our mentors questions, but you don’t have to attend if it doesn’t fit into your schedule.
(Participants in our funded training courses are an exception. They have to attend a fixed number of hours per week and are obliged to take part in the live webinars.)
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For more information about how we use your data, see our
privacy policy. Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.