"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

People who do amazing things in the world - developing a new cancer drug, creating award-winning ads, helping their communities - may seem to have all sorts of advantages. But they don’t have any more hours than the rest of us. Instead, they may be allocating their hours in interesting ways that the rest of us can learn from. In this workshop, time management expert Laura Vanderkam explains about how broadening our perspective on time will help us be more intentional with the hours we have, and shares the simple, practical steps your team can take to start making time work for them.

"The Little Prince" is a long story that in the format of books has beaten sales records in the world and in all languages ​​since 1943, when it was first published in French. Its pages evoke the most deeply rooted and essential values ​​of Humanism - in a simple and clear way - in which solidarity, kindness, integrity, tenacity, companionship and enthusiasm for knowledge are revealed.

ビッグデータ時代の必須教養
「因果推論」の考えかたがわかる!