Go-getter Ensign Jeff Carney is ready for his first assignment in the United States on board a brand-new nuclear attack submarine. But when a medical condition drastically changes his course, he accepts orders to step aboard the USS EYAK instead, a navy salvage ship also known as a “fleet tugboat” that hasn’t completed a mission in years. Determined to pass inspections for a six-month deployment to the Mediterranean Sea, Ensign Carney harnesses his leadership skills—even as he faces setbacks and antics like a roommate with a flair for flatulence, a laundry staff who enjoy taking rides in the dryer, and a captain who doesn’t want him around. But despite every challenge on his sanity, he refuses to keep his dreams anchored. When the USS EYAK finally sets sail, will the truth about navy life sink Ensign Carney’s spirit for good? Or will every day at sea prove that his ambitions are worth it, no matter what?
This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques and approaches emphasize data-driven practices, beginning with the basic programming paradigms that occupy the majority of an analyst’s time and advancing to the practical applications of statistical learning and machine learning. The text considers two divergent, competing perspectives to support its applications, incorporating techniques from both causal inference and prediction. Additionally, the book includes open-sourced data as well as live code, written in R and presented in notebook form, which readers can use and modify to practice working with data.
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