Data Science

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data....

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms.

The insider account of the data revolution that has swept through the modern football world written by one of its key architects, Ian Graham.

Anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner.

This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems....

Master the fundamentals of networking and confidently prepare for the Cisco Certified Network Associate (CCNA) exam with this comprehensive guide. This book equips you with the knowledge and skills required to excel in today's dynamic networking landscape.

While you may have never thought of networking in detail, this book will introduce you to the basics of networking....

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns....

Build predictive models from time-based patterns in your data. Master statistical models including new deep learning approaches for time series forecasting....

Written for professionals, students, technologists, and all curious minds, this book demystifies complex AI concepts while offering actionable strategies for navigating rapid AI advancements.

To succeed in today's transforming business world, organizations need business intelligence capabilities to make smarter decisions faster than ever before. This updated second edition of Learn Power BI takes you on a journey of data exploration and discovery....

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers....

Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership....

You can be incredibly productive with Azure without mastering every feature, function, and service. Learn Azure in a Month of Lunches, Second Edition gets you up and running quickly, teaching you the most important concepts and tasks in 21 practical bite-sized lessons....

Today, number crunching affects your life in ways you might never imagine....

Everybody has heard of it - but who can explain it? In simple terms? This audiobook! After his latest best seller Cryptocurrencies Simply Explained, Dr. Julian Hosp now explains blockchain in a simple way - the next revolution....

A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, and keeping processes along the way operational. Using real-world scenarios and examples, this book teaches you how to simplify and automate data pipelines, reduce operational overhead....

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities....

This book consists of 6 titles.

Go in Action is for any intermediate-level developer who has experience with other programming languages and wants a jump-start in learning Go or a better understanding of the language and its internals. This book provides an intensive, comprehensive, and idiomatic view of Go....

Knowing how to craft SQL queries and navigate your way around a database is an essential skill if are a Database Administrator, System Administrator, or Programmer...

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases.

From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

"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.

By the end of on average day in the early 21st century, human beings searching the Internet will amass eight trillion gigabytes of data. This staggering amount of information - unprecedented in history - can tell us a great deal about who we are - the fears, desires, and behaviors that drive us, and the conscious and unconscious decisions we make. From the profound to the mundane, we can gain astonishing knowledge about the human psyche that less than 20 years ago seemed unfathomable.

Like it or not, your every move is being watched and analyzed. Consumers' identities are being stolen, and a person's every step is being tracked and stored. What once might have been dismissed as paranoia is now a hard truth, and privacy is a luxury few can afford or understand. In this explosive yet practical book, Kevin Mitnick illustrates what is happening without your knowledge - and he teaches you "the art of invisibility".

Your data has already been sold...Get it back. There are so many times when we are online, and we need to make sure that our data is safe. We assume that we are doing a good job with a bit of anti-virus protection and carefully selecting what sites we visit. But when some of the big companies we trust, including Facebook, Google, and more, are willing to gather up as much data as they can about all our lives (whether online or not) and then sell it make money, it’s hard to know how safe our information really is.

Demystifizieren wir zusammen die Welt der großen Daten! Fast jeder nutzt heute Smartphones und Messenger und damit Big Data! Aber weißt du auch, wie im Hintergrund all diese Daten konkret generiert, gesammelt und ausgewertet werden? Praktische Tipps zum Thema Datenschutz, Smartphones und anonymes Surfen. Mache dich mit diesem Hörbuch zu einem wahren Datenschutzexperten!

Do you want to understand what big data is all about, but you don’t get all the hype? Are you intrigued by the idea of building a career around big data and data science, but you just don’t understand it? If so, this audiobook could be what you are looking for. If you know nothing about big data now, you will come away with a good overview of the subject and how it integrates into the other hot technologies of the day widely adopted by business, such as artificial intelligence, predictive analytics, and machine learning.

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined.

This eye-opening book provides vital information that has been out of reach to those who need it most—the millions of Facebook, Google, Amazon, Apple, and Microsoft users who have come to love and depend upon these digital products. Veteran consumer advocate Jane Hoffman makes the complex world of Big Tech simple to grasp as she reveals exactly how Big Tech uses—and abuses—your personal information. And she proposes a bold blueprint for reforming these corporate behemoths.

Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims. But how well do you know big data? You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun? Yes. Yes, you can.

Python ist die ideale Programmiersprache, um Programmieren zu lernen. Die Sprache ist sowohl sehr simpel als auch vielseitig einsetzbar. Das macht Python zu einer der populärsten Programmiersprachen überhaupt. Zu Beginn lernst du die Grundlagen der Programmiersprache Python, also Datentypen, Variablen, Kontrollstukturen, Schleifen und Funktionen.

Der leichte Weg zum Python-Experten! Python ist eine weit verbreitete, universell einsetzbare und leicht zu erlernende Programmiersprache und eignet sich daher bestens zum Programmieren lernen! In diesem Buch wird das Programmieren in Python beginnend mit den Grundlagen leicht und verständlich erklärt, ohne dass dabei Vorkenntnisse vorausgesetzt werden. Ein besonderer Fokus wird dabei auf die Objektorientiere Programmierung (OOP) und das Erstellen von grafischen Oberflächen gelegt.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

Der bekannteste Philosoph Deutschlands über die Moral der Künstlichen Intelligenz. Während die drohende Klimakatastrophe und der enorme Ressourcenverbrauch der Menschheit die Lebensgrundlagen unseres Planeten zerstören, machen sich Informatiker und Ingenieure daran, die Entwicklung einer Künstlichen Intelligenz voranzutreiben, die alles das können soll, was Menschen auch können - nur vielfach "optimierter". Ausgehend von völlig falschen Annahmen soll den Maschinen sogar eine menschenähnliche Moral einprogrammiert werden.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep-learning skills - become more sophisticated.

Learn Python fundamentals that can be used in any programming setting—use the guidance in this book to program your own game in a unique and practical Python learning experience. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You’ll explore interesting real-world datasets like Google’s daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like TensorFlow.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

Are you fed up with reading long, boring, lengthy paragraphs after paragraphs of text and want to get up and running in Python as soon as possible? Well, you're not alone. I for one hate having to read through masses of text for very little benefit. Python Programming: How to Code Python Fast in Just 24 Hours with Seven Simple Steps strips away the non-essentials and instead provides you with the fundamentals from which you can blossom as a Python programmer in just seven simple steps.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects.

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

Lerne die Datenbanksprache SQL einfach während der Autofahrt, in der U-Bahn, beim Kochen oder Putzen. In diesem Hörbuch lernst du die Grundlagen relationaler Datenbanken und du erfährst, was ein ER-Diagramm, das relationale Modell und die relationale Algebra ist. Und natürlich lernst du alles zu SQL.

Kam Ihnen beim Bezahlen Ihrer Einkäufe im Supermarkt schon mal die Frage, wie all die vielen Transaktionen samt der enthaltenen Artikel, Rabatte und weiteren wichtigen Informationen in Windeseile weiterverarbeitet und gespeichert werden und wie jede Transaktion direkt auf einem Kassenbon landet?

As data floods into your company, you need to put it to work right away—and SQL is the best tool for the job. With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You'll find new chapters on SQL and big data, analytic functions, and working with very large databases.

Knowing how to craft SQL queries and navigate your way around a database is an essential skill if are a Database Administrator, System Administrator, or Programmer. This book guides you step-by-step by teaching you how to create databases, populate those databases with data, extract just the data you need, and much more.

Need to learn SQL for work, but don't know where to start? Ever tried to learn, but got bored with dry-as-dust textbooks? Let SQL with a Smile introduce you to the Structured Query Language with a laid-back approach - and a lot of bad jokes! Don't get bogged down with database details you don't need yet.

Do you know the power of Microsoft's Excel? Are you able to use Excel to its fullest potential? Do you want to learn Excel fast, quick and easy? Want to skip all the formal training? Can't afford a college or university class on Excel? Don't have the time? Just want to get started? Want all the formulas and shortcuts that make using Excel easy?

With simple, easy-to-understand explanations, SQL: A Step by Step Guide to Learn SQL Computer Programming Technologies explores the fundamentals of the incredible SQL language in a way that even a complete novice can understand. This language is a vital skill for anyone looking to become a database programmer or work in IT fields – but now it’s never been easier!

"SQL: Learn SQL Programming and Database Management" is your comprehensive guide to mastering the essential skills needed to manage, query, and secure databases in today’s data-driven world. Whether you're a beginner starting your journey into the world of databases or an experienced developer looking to deepen your understanding, this book offers a clear, step-by-step approach to learning SQL and database management.

SQL, or structured query language, has been around since the '80s. It has proven to be effective and efficient, making it the ideal solution for your database demands. The best part? You can learn how to program using SQL in just nine chapters. This audiobook introduces you to the basics of programming using comprehensive examples and step-by-step practice problems that sets you up for success.

Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.

This book will explain SQL statements in detail in layman terms and will help beginners start writing statements that are related to SQL in much less time. SQL is one of the most famous database query languages and can easily make things work in the database applications. We will start with a thorough explanation of the relational databases and the relationships that are present.

Structured Query Language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a Relational Database Management System (RDBMS) with just a few commands. Knowledge of this simple, yet powerful tool is becoming ubiquitous in workplaces big and small, corporate and public. Upgrade your skillset, and make yourself more valuable in the wide open space of data management. Listen to this guide and elevate your game!

SQL is used extensively since its relatively easy to learn and it can help you get information from a database that may not be available to people who do not know SQL. It is a considered a very flexible language and can be used in a whole variety of ways, because of this flexibility a lot of software products today use SQL to interact and communicate with databases. By learning this language, you will have an essential skill which you can use on one of the many products which are based on SQL.

SQL: Elite Level SQL from the Ground Up is the fourth and final entry in a series of audiobooks designed to make SQL accessible to the fledgling user. This series will break up the material into bite-sized chunks to take listeners from uninitiated novice to expert scripter, with layman explanations and query examples.