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Analytics: Data Science, Data Analysis and Predictive Analytics for Business (Algorithms, Business Intelligence, Statistical Analysis, Deci
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*****5TH EDITION PUBLISHED JULY 2016*****
UPDATED AND IMPROVED
Thank you to all those leaving reviews and providing feedback!
SO MANY PEOPLE DREAM OF BECOMING THEIR OWN BOSS OR SUCCEEDING IN THEIR CHOSEN PROFESSION, AND WITH THE RESOURCES AVAILABLE TODAY, MORE ENTREPRENEURS AND PROFESSIONALS ARE ACHIEVING GREAT SUCCESS! HOWEVER, SUCCESS SHOULD BE DEFINED FOR THE LONG TERM, AND AS OPPORTUNITIES START TO GROW, SO DOES THE COMPETITION.
Getting your business up and running or starting on your career path is one thing, but have a sustainable business or career is completely another. Many people make the mistake of making plans but having no follow-through. This is where analytics comes in.
Don’t you wish to have the power to know what your target consumers are thinking? Won’t you want to have a preview of what future trends to expect in the market you are in?
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Here’s what this book will teach you:
- Why data is your single most powerful tool
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- Which steps to take in performing predictive analysis
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PLUS:
- Regression techniques
- Machine learning strategies
- Risk management tips
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- Sales Rank: #33726 in eBooks
- Published on: 2015-12-22
- Released on: 2015-12-22
- Format: Kindle eBook
Most helpful customer reviews
6 of 6 people found the following review helpful.
Major Disappointment
By Carl L. Schlemmer
What a disappointment! Great content however the poor spelling and translated information takes away the credibility of the subject. Did anyone even proof read the Kindle edition? I would have given it a 1 star but I didn't "hate it" -- still has a lot of relevant points - just painful to get through them.
3 of 3 people found the following review helpful.
Those who have heard some of the jargon in context would be better served by looking for better explanaions and in-depth example
By Amazon Customer
Small superficial book. Novices won't glean much from it, as they will be bombarded with unexplained jargon and vague concepts. Those who have heard some of the jargon in context would be better served by looking for better explanaions and in-depth examples elsewhere.
4 of 5 people found the following review helpful.
In practice saying nothing useful or interesting
By Andrei Evtimov
Very simplificated. In practice saying nothing useful or interesting.
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