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Data Science For Dummies Paperback – Sept. 15 2021
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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.
- ISBN-101119811554
- ISBN-13978-1119811558
- Edition3rd
- PublisherFor Dummies
- Publication dateSept. 15 2021
- LanguageEnglish
- Dimensions18.73 x 2.49 x 23.5 cm
- Print length432 pages
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Product description
From the Inside Flap
Uncover new powers from within your data
Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can’t). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go).
Inside...
- Machine learning basics
- Growing a data science career
- Converting data into profit
- Making better business decisions
- Visualizing big data insights
- Selecting an optimal data science use case
- Building a data science strategy
- Monetizing data and data expertise
From the Back Cover
Uncover new powers from within your data
Data science is the alchemy that allows us to turn all the 1s and 0s floating around out there into knowledge. Data Science For Dummies will open your eyes to everything data can do (and a few things it can’t). This is the easy introduction to everything from wrangling data to prediction models, and even sprucing up the results with visualizations. Why would you want to do all that? This book will set you straight on that point, too, with real-world applications and examples you can take to the bank (or wherever else the data insights tell you to go).
Inside...
- Machine learning basics
- Growing a data science career
- Converting data into profit
- Making better business decisions
- Visualizing big data insights
- Selecting an optimal data science use case
- Building a data science strategy
- Monetizing data and data expertise
About the Author
Lillian Pierson is the CEO of Data-Mania, where she supports data professionals in transforming into world-class leaders and entrepreneurs. She has trained well over one million individuals on the topics of AI and data science. Lillian has assisted global leaders in IT, government, media organizations, and nonprofits.
Product details
- Publisher : For Dummies; 3rd edition (Sept. 15 2021)
- Language : English
- Paperback : 432 pages
- ISBN-10 : 1119811554
- ISBN-13 : 978-1119811558
- Item weight : 580 g
- Dimensions : 18.73 x 2.49 x 23.5 cm
- Best Sellers Rank: #165,882 in Books (See Top 100 in Books)
- Customer Reviews:
About the author

Lillian Pierson is a CEO & data leader that supports data professionals to evolve into world-class leaders & entrepreneurs. To date, she’s helped educate over 1.3 million data professionals on AI and data science.
Lillian has authored 6 data books with Wiley & Sons Publishers as well as 8 data courses with LinkedIn Learning. She’s supported a wide variety of organizations across the globe, from the United Nations and National Geographic, to Ericsson and Saudi Aramco, and everything in between.
She is a licensed Professional Engineer, in good standing. She’s been a technical consultant since 2007 and a data business mentor since 2018. She occasionally volunteers her expertise in global summits and forums on data privacy and ethics.
Title: CEO
Email: lillian@data-mania.com
Website Link: www.data-mania.com
Business HQ Location: Houston, Texas - USA
LinkedIn Profile: https://www.linkedin.com/in/lillianpierson/
Customer reviews
Top reviews from other countries


At the end of the book you will find out what Data Scientists use/need, but you will not know how they are used and will have learned nothing. Might be useful if you are a manager type and you yourself are not going to do any actual Data Science