Data science for dummies
Pierson, Lillian
Data science for dummies Lillian Pierson - 3rd ed. - Hoboken, NJ : For Dummies, 2021. - xii, 416 pages : illustrations, charts ; 24 cm
Part 1. Getting started with Data Science Part 2. Using data science to extract meaning from your data Part 3. Taking stock of your data science capabilities Part 4. Assessing your data science options. Part 5. The part of tens
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
9781119811558
Data mining
Information retrieval
Databases
Business--Data processing
Big data
Strategic planning
Technological innovations--Management
006.312 / PIE
Data science for dummies Lillian Pierson - 3rd ed. - Hoboken, NJ : For Dummies, 2021. - xii, 416 pages : illustrations, charts ; 24 cm
Part 1. Getting started with Data Science Part 2. Using data science to extract meaning from your data Part 3. Taking stock of your data science capabilities Part 4. Assessing your data science options. Part 5. The part of tens
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
9781119811558
Data mining
Information retrieval
Databases
Business--Data processing
Big data
Strategic planning
Technological innovations--Management
006.312 / PIE