Data Science for Dummies
Wiley · Print & ebook · September 15, 2021
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- Who it’s for
- A practical bridge between data science know-how and the business case for putting it to work.
- Themes
- Data science project strategy, Business data monetization, Natural language processing
- Genres
- Data Science, Machine Learning, Data Mining
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Start with this bookAbout this book
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?
Continue reading
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.
Data With Direction
A practical bridge between data science know-how and the business case for putting it to work.
Come here for
- Connecting data projects with profitability and business vision
- A framework for choosing promising data science projects
Expect
- An introduction for newcomers, with strategy for experienced practitioners
- Attention to data monetization and natural language processing
Where it sits
| Data Science | 85% |
|---|---|
| Data Mining | 30% |
| Machine Learning | 25% |
Percentages are BookFrontier’s reading of the book.
Publisher categories
- Data Mining
- Data Modeling
- Data Viz
- Authors
- Lillian Pierson
- Publisher
- Wiley
- Published
- September 15, 2021
- Format
- Print & ebook
- Theme
- Data science project strategy · Business data monetization · Natural language processing
- Reading lane
- Data Mining