Showing results for "Data Analysis" in Science & Engineering

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.

Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory but made accessible through numerous real-world examples - ready for immediate application to your next graph or presentation.

In our age of accelerating progress in so many fields, it’s easy to lose sight of the underlying innovation that makes the data analytics revolution possible. These 24 lectures introduce you to the key concepts, methods, and accomplishments of this versatile approach to problem solving. You need no expertise in mathematics to follow this exciting story. Tim Chartier, professor of mathematics and computer science, explains the basic computational techniques used in data analytics, but his focus is on how these ideas are applied and the amazing results they achieve.

Kleine Datensätze entstehen immer dann, wenn Ereignisse selten auftreten, schwer zu beobachten sind, oder soweit aus der Vergangenheit stammen, dass heute nur noch wenige Fundstücke erhalten sind. Hierzu gehören beispielsweise meteorologische Phänomene, seltene Krankheiten oder (prä-)historische Funde. Im Thematischen Einstein-Semester Small Data Analysis blicken Mathematiker:innen und Forscher:innen verschiedener Disziplinen gemeinsam auf die wissenschaftliche Praxis rund um kleine Datensätze und entwickeln in intensiver Zusammenarbeit neue Forschungsmethoden, die helfen sollen, ...

It is Clinical Data Management Best Practices podcast by IBA. Scientists need professional Data managers and Tools to be able to make the right decisions and establish their hypotheses correctly. We bring you interviews with leading specialists in Data Management, Biotechnology, Life Sciences, and Digital Health.