Today, I had the opportunity to write a blog post on my recent experience working as a technical reviewer for Gus Frazer’s book, “Data Cleaning with Power BI.” (The definitive guide to transforming dirty data into actionable insights)
Having had the privilege of interacting with Gus Frazer’s on LinkedIn, I can attest to his expertise and dedication to empowering data professionals. His passion shines through every page of this book, making complex concepts accessible to zero-knowledge to seasoned experts.
This book stands out because it takes a practical approach to teaching readers how to handle difficult data transformations. Beyond simply teaching you how to use Power Query, the authors provide you with the tools you need to confidently and effectively take on difficulties in the real world. The breadth of content is unmatched, offering methods and insights that I’ve had trouble finding elsewhere.
“Data Cleaning with Power BI” is a mastery roadmap rather than merely a reference guide. This book is a necessary partner on your path to success, regardless of your background as a data analyst, business intelligence specialist, or enthusiast ready to explore the possibilities of Power Query.
This book provides a solid foundation for comprehending Power Query M code from the very beginning. Its friendly introduction makes sure that even beginners can understand the basics and lays the groundwork for more complex subjects. The learning curve feels natural because of the smooth and logical evolution from fundamental ideas to complex data processing procedures.
In conclusion, if you’re looking to enhance your understanding and proficiency in data cleaning with Power BI, I highly suggest this book and the author; they are excellent! The reader will benefit from the approachable style, the supporting material, and the examples.
Thank you so much, Nivedita Singh, Shambhavi Mishra and Packt Team, for providing the best book. The writing style of Gus Frazer in the book was truly exceptional, and I thoroughly enjoyed it.
Please find the links for the book from Amazon and Packt stores below:
Happy reading! Have a nice day!