Data analysis and data visualization with Excel and Power BI

This online course offers you a digital blended concept that has been specially developed for part-time learning. With a time budget of at least 3-4 hours per week, you are sure to reach your goal. Alternatively, you can schedule the learning units flexibly. This is how you learn in the course:

• Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material with videos, articles, interactive exercises, quizzes and learning checks.
• Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.
• Practical assignments: To learn the skills in practice, you will be given access to data projects that allow you to apply the techniques and methods you have learned to real-world problems. Through these exercises, you will gain a deep understanding of working with data and develop methods and techniques that you can apply in your everyday work.
• Learning community: A digital learning community is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.
• Certificate of attendance and Open Badge: As a graduate of the course, you will receive a certificate and an Open Badge that you can easily share in professional networks (e.g. LinkedIn).
• Future Jobs Club: Booking this online course gives you access to the Future Jobs Club with exclusive information, offers and networking opportunities.

In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.

• Learn how to cleanse and analyze company data in a structured way - using Microsoft Excel and Power BI.
• Gain sound assessment skills in order to derive and communicate the right findings from data analyses.
• Receive concrete tips and examples for the optimal visualization of data analyses.
• Learn all about typical pitfalls and how to critically scrutinize your ad hoc analyses.
• Not only will you learn the necessary tools first-hand from your trainers, you will also apply the knowledge directly in exercises with the data sets provided in two comprehensive practical blocks.

Take an active part in our online community and work with your own questions - this is how you will benefit most from this course. This will allow you to apply the content both in self-study and in practical exercises.

Dennis Bogen

Claudia Schunke