Title
Supercharge Power Bi: Power Bi Is Better When You Learn To Write Dax
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Power Bi Is A Selfservice (And Enterprise) Business Intelligence (Bi) Tool That Facilitates Data Acquisition, Modeling, And Visualizationand The Skills Needed To Succeed With Power Bi Are Fully Transferable To Microsoft Excel. There Are Three Learning Areas Required To Master Everything Power Bi Desktop Has To Offer: Them Language, The Dax Language, And Analysis. Super Charge Power Bi Clearly Explains The Necessary Concepts While At The Same Time Giving Handson Practice To Engage The Reader And Help New Knowledge Stick.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of the book? A: The book has one hundred eighty-six pages. This makes it a concise resource for learning DAX in Power BI.
- Q: What are the dimensions of the book? A: The book measures eight point twenty-seven inches in length, zero point four inches in width, and ten point seventy-five inches in height. This size makes it easy to handle and store.
- Q: What type of binding does this book have? A: The book is paperback bound. This type of binding is flexible and lightweight, making it convenient for reading and portability.
- Q: Who is the author of the book? A: The author is Matt Allington. He has extensive experience in data analytics and is known for his expertise in Power BI.
- Q: What is the main focus of this book? A: The book focuses on teaching DAX for Power BI. It provides hands-on practice to solidify learning.
- Q: Is this book suitable for beginners? A: Yes, this book is designed for beginners. It clearly explains concepts and includes practical exercises to help new users understand DAX.
- Q: How can I apply what I learn from this book? A: You can apply the knowledge from this book in Power BI for data modeling and analysis. The skills are also transferable to Microsoft Excel.
- Q: What learning areas does this book cover? A: The book covers three main learning areas: The M Language, The DAX Language, and data analysis concepts. This comprehensive approach helps build a strong foundation.
- Q: Is this book appropriate for advanced users? A: While the book is primarily for beginners, advanced users can also benefit from the hands-on practice it offers. It serves as a good refresher on DAX concepts.
- Q: How should I store this book? A: Store the book in a cool, dry place, away from direct sunlight. This will help preserve its condition over time.
- Q: Can I use this book for self-study? A: Yes, it is ideal for self-study. The clear explanations and exercises allow readers to learn at their own pace.
- Q: What is the main genre of this book? A: The book falls under the Data Mining category. It focuses on analytics and data visualization techniques.
- Q: Does this book include exercises or practice questions? A: Yes, the book includes hands-on exercises. These are designed to reinforce learning and help readers apply what they’ve learned.
- Q: Is there a digital version of this book available? A: The product details do not specify a digital version. Check the publisher's website for availability.
- Q: What is the publisher of this book? A: The book is published by Holy Macro! Books. They specialize in educational materials for data analytics.