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The Complete Power BI Interview Guide

You're reading from  The Complete Power BI Interview Guide

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781805120674
Pages 482 pages
Edition 1st Edition
Languages
Authors (3):
Sandielly Ortega Polanco Sandielly Ortega Polanco
Profile icon Sandielly Ortega Polanco
Gogula Aryalingam Gogula Aryalingam
Profile icon Gogula Aryalingam
Abu Bakar Nisar Alvi Abu Bakar Nisar Alvi
Profile icon Abu Bakar Nisar Alvi
View More author details

Table of Contents (19) Chapters

Preface 1. Part 1:Getting Your First Interview
2. Chapter 1: Exposing Your Profile 3. Chapter 2: Support Skills for Power BI Developers 4. Part 2: Beyond the Borders of Power BI
5. Chapter 3: The Power BI Workflow 6. Chapter 4: Data Analysis with Power BI 7. Chapter 5: Preparing, Transforming, and Modeling Data 8. Chapter 6: Exploring, Visualizing, and Sharing Data and Deploying Solutions 9. Chapter 7: DAX Programming 10. Chapter 8: Expert Report Building 11. Chapter 9: Effective Data Storytelling 12. Chapter 10: Using Dashboards and Apps and Implementing Security 13. Part 3: The Final Stretch – Preparing for the HR Round and Beyond
14. Chapter 11: Understanding the HR Interview Process and Preparing for Success 15. Chapter 12: Tips for Negotiating Salary and Benefits 16. Chapter 13: Best Practices for Accepting and Rejecting Job Offers – Onboarding and Beyond 17. Index 18. Other Books You May Enjoy

Soft skills

In addition to the technical skills that help you solve daily tasks as a data analyst, there are subjective skills or skills tied to the person that are difficult to quantify. These are called soft skills. Every data analyst should develop at least one of the following soft skills for career complementation and professional growth.

Communication and collaboration

Knowing how to import data from an SQL database, transform it, and create measures in Power BI does not mean you are a good analyst if you don’t know how to communicate what you found. Company executives expect to make decisions based on the data you found, and it is your responsibility as an analyst to transmit the information as clearly as possible.

Problem solving

To err is human, and companies and technology are not perfect. If the data between the transactional system and the report is not matching, you as a data analyst must be able to know where to start addressing this situation and how...

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