Guide to effective dashboards in Power BI
The training Analytics & Reporting - Focus Power BI provides you with the most important basics for Power BI and the potential of data-driven decisions.
Using Power Query Editor best practices and advanced use cases, you'll create meaningful graphs in MS Power BI that you can drag and drop into audience-appropriate dashboards and present in an easy-to-understand way using data storytelling.
The beginner course is designed for anyone who wants to learn Business Intelligence without complex technological skills in order to prepare data in dashboards. Self-service BI and the use of intuitive tools such as Power BI are sought-after skills in many departments such as Marketing, HR or Finance. The training is also suitable for career changers.
In the first chapter, you will learn why data-driven decisions are important and what the workflow of data analyses looks like. You will get to know the most important basic functions of Microsoft Power BI - including data, model and report views as well as the filter functions. You will load several data sets in the data view to create a data model and your first report.
In the second chapter, you will learn the best practices of data visualization using practical exercises and how you can change and format visualizations. Power BI offers numerous visualizations that you can use in reports and dashboards. You will learn how to avoid typical mistakes and receive guidelines on how to prepare graphics in an understandable way. You will then learn how to use the Power Query Editor with the help of 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 how to communicate them efficiently and easily to relevant target groups using the most important principles of data storytelling. You will also learn advanced BI skills. You will learn the basics of Data Analysis Expressions (DAX language). You will be provided with basic concepts and best practices for integrating DAX into your reports and learn how to write complex DAX code for calculations to generate columns, key figures and tables.</p
The fourth chapter focuses on fundamental concepts of statistics. We provide you with best practices for valid statistical data analysis. Finally, you will deal with advanced methods of business intelligence based on statistics and machine learning. Finally, you will be able to use drillthrough to perform a cross-page drilldown and carry out an influencing factor analysis.
The demand for data experts is high. Around 4 million data experts will be needed in Europe by 2025. In Germany alone, 149,000 IT jobs are currently vacant. The demand for data and AI experts in particular continues to grow enormously.
But a decision for a data career is so much more than just a safe decision for the future! As a data expert, you deal with powerful, socially relevant topics, are a tech professional, and are communicative and creative at the same time. The profession is varied, can be combined with most other professions and offers an attractive salary. And most importantly, with us it can be learned unerringly!
Yes, after successful completion of the training, you will receive a certificate of completion from us that you can show in your job applications. Data Analysts and Data Scientists are desperately sought after in many business sectors. Even without relevant work experience, your chances of finding an entry-level job are good. In addition, there are analysts in almost every industry who have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
No, the training is designed to be flexible and part-time. You can pursue your profession without restrictions and can schedule your learning times as they fit best for you. If you suddenly have more time available, you can contact us by e-mail and we will activate the learning content for the part-time version in your account. In this variant you can complete the training within only four weeks. If you realize that you need more time, you can still complete the content in the regular time.
Yes, our online training courses are designed to offer you the greatest possible flexibility. In general, we recommend that you plan six to eight hours per week for learning. 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 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 sponsored training courses are excluded. These must attend a fixed number of hours per week and are obliged to participate in the live webinars).
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