Scherpste prijs
Kenmerken
Auteur
Lillian Pierson
Conditie
Zo goed als nieuw
Productnummer (ISBN)
9781119811558
Jaar (oorspr.)
2021
Beschrijving
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Bestel direct op onze website!
Titel: Data Science For Dummies
Auteur: Lillian Pierson
ISBN: 9781119811558
Conditie: Als nieuw
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...
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:
Bestel direct op onze website!
Titel: Data Science For Dummies
Auteur: Lillian Pierson
ISBN: 9781119811558
Conditie: Als nieuw
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
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
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Sinds 10 jun. '26
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