Data Science For Dummies (For Dummies (Computer/Tech)) - Softcover

Pierson, Lillian

Softcover

ISBN 10: 1119811554 ISBN 13: 9781119811558

Publisher: For Dummies, 2021

Synopsis

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.

About this title

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.

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

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

Edition details

• Publisher: For Dummies
• Publication date: 2021
• Language: English
• ISBN 10: 1119811554
• ISBN 13: 9781119811558
• Binding: Paperback
• Edition number: 3
• Number of pages: 432