Whether you are a newly minted MBA or a project manager at a Fortune 500 company, data science will play a major role in your career. Knowing how to communicate effectively with data scientists in order to obtain maximum value from their expertise is essential. This book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams. Taking an engaging narrative approach, Winning with Data Science covers the fundamental concepts without getting bogged down in complex equations or programming languages. It provides clear explanations of key terms, tools, and techniques, illustrated through practical examples. The book follows the stories of Kamala and Steve, two professionals who need to collaborate with data science teams to achieve their business goals. Howard Steven Friedman and Akshay Swaminathan walk readers through each step of managing a data science project, from understanding the different roles on a data science team to identifying the right software. They equip readers with critical questions to ask data analysts, statisticians, data scientists, and other technical experts to avoid wasting time and money. Winning with Data Science is a must-read for anyone who works with data science teams or is interested in the practical side of the subject.

How much is a human life worth? Individuals, families, companies, and governments routinely place a price on human life. The calculations that underlie these price tags are often buried in technical language, yet they influence our economy, laws, behaviors, policies, health, and safety. These price tags are often unfair, infused as they are with gender, racial, national, and cultural biases that often result in valuing the lives of the young more than the old, the rich more than the poor, whites more than blacks, Americans more than foreigners, and relatives more than strangers. This is critical since undervalued lives are left less-protected and more exposed to risk. Howard Steven Friedman explains in simple terms how economists and data scientists at corporations, regulatory agencies, and insurance companies develop and use these price tags and points a spotlight at their logical flaws and limitations. He then forcefully argues against the rampant unfairness in the system. Readers will be enlightened, shocked, and, ultimately, empowered to confront the price tags we assign to human lives and understand why such calculations matter.

If America were a corporation, how would an independent analyst judge its ability to compete against other corporate giants? According to the author, that hypothetical analyst would label America a corporate dinosaur and recommend that the nation either change or face extinction.
This book focuses on how to improve America by first comparing its performance with thirteen competitive industrial nations, then identifying the best practices found throughout the world that can be adopted here in the United States. The author lays out some disturbing facts about America's lack of competitiveness in five key areas: health, education, safety, equality, and even democracy. Taking the approach that "data doesn't lie," the author notes alarming statistics, for example:
-Americans have the lowest life expectancy among all competitor nations.
-Americans are at least two times more likely to be murdered and four times more likely to be incarcerated than any other competitor country, including Japan, France, and the United Kingdom.
-America shows the sharpest disparity between rich and poor among all nations on its competitor list.
Using charts that clearly illustrate the unbiased, party-neutral data, the author uncovers the major problem areas that the nation must address to become a leader again. Homing in on best practices from other countries than can be adapted to the United States, the author plots a course to transform America from a corporate behemoth burdened by internal issues and poor performance to a thriving business with an exciting portfolio of solutions.

How much is a human life worth? Individuals, families, companies, and governments routinely place a price on human life. The calculations that underlie these price tags are often buried in technical language, yet they influence our economy, laws, behaviors, policies, health, and safety. These price tags are often unfair, infused as they are with gender, racial, national, and cultural biases that often result in valuing the lives of the young more than the old, the rich more than the poor, whites more than blacks, Americans more than foreigners, and relatives more than strangers. This is critical since undervalued lives are left less-protected and more exposed to risk. Howard Steven Friedman explains in simple terms how economists and data scientists at corporations, regulatory agencies, and insurance companies develop and use these price tags and points a spotlight at their logical flaws and limitations. He then forcefully argues against the rampant unfairness in the system. Readers will be enlightened, shocked, and, ultimately, empowered to confront the price tags we assign to human lives and understand why such calculations matter.