Data Science Study

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.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

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.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits.

The goal of this book is simple: provide a perfect insight into data science from scratch. It clearly explains the difference between data science and big data, explaining the concept of big data very concisely and clearly. Operations on data are also very clearly explained in this audiobook. The book is also an ultimate guide to master data mining and data-analytic.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

There's no better time to become a data engineer. And acing the AWS Certified Data Engineer Associate (DEA-C01) exam will help you tackle the demands of modern data engineering and secure your place in the technology-driven future. Authors Sakti Mishra, Dylan Qu, and Anusha Challa equip you with the knowledge and sought-after skills necessary to effectively manage data and excel in your career.

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.

Data and Reality gracefully weaves the disciplines of psychology and philosophy with data management to create timeless takeaways on how we perceive and manage information. Although databases and related technology have come a long way since 1978, the process of eliciting business requirements and how we think about information remains constant.

Ein kraftvolles und provokantes Plädoyer für Veränderung! Unsere Welt ist von Männern für Männer gemacht und tendiert dazu, die Hälfte der Bevölkerung zu ignorieren. Und Frauen zahlen einen enormen Preis für diese Tendenz. Frauen, die in Nagelstudios, Fabriken für Autoplastik oder an vielen anderen gefährlichen Arbeitsplätzen tätig sind, gehören zu den verletzlichsten, machtlosesten Arbeiterinnen überhaupt. Frauen sind überhaupt nicht bedarfsgerecht mit Toiletten versorgt. Eine von drei Frauen hat keinen Zugang zu sicheren Toiletten.

Virtually anyone who has ever watched a profound movie, a powerful TV show, or read a moving novel understands that entertainment can and does affect us in surprising and significant ways. But did you know that our most popular forms of entertainment can have a direct physical effect on us, a measurable impact on society, geopolitics, the economy, and even the future itself? In You Are What You Watch, Pulitzer Prize-winning author Walter Hickey proves how exactly how what we watch (and read and listen to) has a far greater effect on us and the world at large than we imagine.

"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.

When "metadata" became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was "only" collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems?

Unsere Umwelt wurde von Männern für Männer gestaltet. In Das Patriarchat der Dinge öffnet Rebekka Endler uns die Augen für das am Mann ausgerichtete Design, das uns überall umgibt. Und sie zeigt, welche mitunter lebensgefährlichen Folgen es für Frauen hat. Unsere westliche Medizin ist beispielsweise – mit Ausnahme der Gynäkologie – auf den Mann geeicht: von Diagnoseverfahren und medizinischen Geräten bis hin zur Dosierung von Medikamenten. Aber auch die Dummys für Crashtests haben den männlichen Körper zum Vorbild – und damit das ganze Auto samt Airbags und Sicherheitsgurten.

Locked away in refrigerated vaults, sanitized by gas chambers, and secured within bombproof caverns deep under mountains are America's most prized materials: the ever-expanding collection of records that now accompany each of us from birth to death. This data complex backs up and protects our most vital information against decay and destruction, and yet it binds us to corporate and government institutions whose power is also preserved in its bunkers, infrastructures, and sterilized spaces.

I segreti più profondi della Cia e dell'Nsa sono stati hackerati e resi pubblici, più di una volta. Ma stai certo che da nessuna parte, nemmeno nel dark web, troverai una copia dell'algoritmo di ricerca di Google o dell'algoritmo del feed di Facebook. Oggi questi algoritmi determinano l'andamento della vita umana sul nostro pianeta. Jaron Lanier, informatico della Silicon Valley, pioniere della realtà virtuale, non ha nessun account social. In "Dieci ragioni per cancellare subito i tuoi account social" spiega perché non dovresti averne nemmeno tu.