| Description |
xii, 416 pages : illustrations, charts ; 24 cm. |
| Series |
--For dummies.
|
| Note |
Includes index. |
|
"Learning made easy"--Cover |
| Contents |
Introduction -- Getting started with Data Science. Wrapping your head around data science ; Tapping into critical aspects of data engineering -- Using data science to extract meaning from your data. Machine learning means... using a machine to learn from data ; Math, probability, and statistical modeling ; Grouping your way into accurate predictions ; Coding up data insights and decision engines ; Generating insights with software applications ; Telling powerful stories with data -- Taking stock of your data science capabilites. Developing your business acumen ; Improving operations ; Making marketing improvements ; Enabling improved decision-making ; Decreasing lending risk and fighting financial crimes ; Monetizing data and data science expertise -- Assessing your data sciene options. Gathering important information about your company ; Narrowing in on the optimal data science use case ; Planning for future data science project success ; Blazing a path to data science career success -- The part of tens. Ten phenomenal resources for open data ; Ten free or low-cost data science tools and applications. |
| Summary |
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. |
| Subject |
Information retrieval.
|
|
Data mining.
|
|
Information technology.
|
|
Databases.
|
|
Business -- Data processing.
|
| Cover Title |
Data science for dummies |
| ISBN |
9781119811558 (paperback) |
|
1119811554 (paperback) |
|
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