Description
Learn how to use data analytics to improve efficiencies, accelerate growth, and increase sales (even if you know NOTHING)
What if you could leverage the power of data analytics in your job, in your business, or at school?
Imagine being a master of data analytics; solving problems quicker and doing work faster than ever before
Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect data analytics guide for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical data analytics book for a beginner. Well-known and incredibly popular for his ability to teach hard topics in an easy-to-understand way, you won't have any issues learning (and implementing everything you learn).
Do you feel like your business or work doesn't benefit from the edge of IT, math, and technology?
Do you wish you could quickly and easily fix holes in your execution (marketing, operations, sales, etc.)?
Or if the idea of exploring data analytics that can benefit your work, business, or school sounds appealing...
THEN THIS BOOK IS FOR YOU
In this book, you will get:
- A comprehensive breakdown of everything you learn so that it is easy-to-understand and perfect for anyone who is a beginner.
- An understanding of the edge that business intelligence and data analytics plays in the real world today.
- An introduction to the different types of data analytics, what it means in the real world, and how you can apply it in your life for better quality and more powerful results.
- Edward's personal email address for unlimited customer support if you have any questions
- And much, much more...
Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page
Author: Edward Mize
Publisher: Venture Ink
Published: 07/23/2019
Pages: 82
Binding Type: Paperback
Weight: 0.29lbs
Size: 9.00h x 6.00w x 0.20d
ISBN13: 9781925997576
ISBN10: 192599757X
BISAC Categories:
- Mathematics | Mathematical Analysis
- Business & Economics | Information Management
- Computers | Data Science | General
This title is not returnable