For Dummies 

CONTENTS: I. Wrapping your head around data science. II. Tapping into critical aspects of data engineering. III. Machine learning means...using a machine to learn from data. IV. Math, probability, and statistical modeling. V. Grouping your way into accurate predictions. VI. Coding up data insights and decision engines. VII. Generating insights with software applications. VIII. Telling powerful stories with data. IX. Developing your business acumen. X. Improving operations. XI. Making marketing improvements. XII. Enabling improved decision-making. XIII. Decreasing lending risk and fighting financial crimes. XIV. Monetizing data and dat science expertise. XV. Gathering important information about your company. XVI. Narrowing In on the optimal data science use case. XVII. Planning for future data science project success. XVIII. Blazing a path to data science career success. XIX. Ten phenomenal resources for open data. XX. Ten free or low-cost data science tools and applications. 

illustrations ; 24 cm 

Include index.