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There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI...

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.

With the world going remote, and data science following along, you can start and pursue a career in data right here, right now. How do I start? What do I need to know? What is data analytics? I'm sure one, if not all, of these questions have run through your mind. Well, the answer is data literacy: the ability to read, understand, and communicate data into information. Building a solid foundation of practical knowledge is the first step to being successful in data. From there, you can finally decide what direction you should go in and start gaining the required knowledge.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

Data. It's the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries.

The Algorithms + Data Structures = Programs Podcast (aka ADSP: The Podcast) is a programming podcast hosted by two NVIDIA software engineers that focuses on the C++ and Rust programming languages. Topics discussed include algorithms, data structures, programming languages, latest news in tech and more. The podcast was initially inspired by Magic Read Along. Feel free to follow us on Twitter at @adspthepodcast.

The Data Career Podcast: helping you break into data analytics, build your data career, and develop a personal brand

The Data Engineering Show is a podcast for data engineering and BI practitioners to go beyond theory. Learn from the biggest influencers in tech about their practical day-to-day data challenges and solutions in a casual and fun setting. SEASON 1 DATA BROS Eldad and Boaz Farkash shared the same stuffed toys growing up as well as a big passion for data. After founding Sisense and building it to become a high-growth analytics unicorn, they moved on to their next venture, Firebolt, a leading high-performance cloud data warehouse. SEASON 2 DATA BROS In season 2 Eldad adopted a brilliant new little ...

Security Analysis is one of the most influential financial books ever written. With more than million copies sold, it has provided generations of investors with the timeless value investing philosophy and techniques of the legendary Benjamin Graham and David L. Dodd. Security Analysis, Seventh Edition features the ideas and methods of today’s masters of value investing, who discuss the influence of Graham and Dodd on today’s markets and contextualize the philosophy that has influenced so many famous investors.

This irregular podcast series examines what is happening in the unstructured data automation market. Three topics - Thirty Minutes, that's the format!Topics range from the state of Blockchain, IDP, ECM, and the impact of AI on unstructured data. Deep Analysis provides advisory services, industry research, and M&A guidance. info@deep-analysis.netDeep-Analysis.Net

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, ...

Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

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.

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.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

How organizations can deliver significant performance gains through strategic investment in marketing.

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