Data Science For Dummies Book Reviews

AUTHOR
Lillian Pierson
SCORE
0
TOTAL RATINGS
66

Data Science For Dummies by Lillian Pierson Book Summary

Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help

What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is.

Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects.

Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book.

Data Science For Dummies demonstrates:
The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise 
Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

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Book Name Data Science For Dummies
Genre Databases
Published
Language English
E-Book Size 12.19 MB

Data Science For Dummies (Lillian Pierson) Book Reviews 2024

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Summary of Data Science For Dummies by Lillian Pierson

The Data Science For Dummies book written by Lillian Pierson was published on 20 August 2021, Friday in the Databases category. A total of 66 readers of the book gave the book 0 points out of 5.

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