Data Science Career

Demystifying IT has been hailed as the one book about information technology that leaders of midsized companies should listen to. Given the importance of IT in today’s world, it might also be the most timely and valuable business book of any kind to be published recently. The co-authors are masters of leveraging IT for creating sustainable competitive advantages for businesses. They’ve been at it for decades, solving problems that defied other experts, and leading digitization projects which have boosted client companies into new realms of growth and profit.

This book walks you through the "need-to-know" aspects of artificial intelligence, including natural language processing, speech recognition, and the power of machine learning to show you how to make the most of this technology in a practical, tactical way. Case studies show how real-world companies are taking the next leap forward. Artificial intelligence and machine learning provide a data-driven basis for more robust and intensely-targeted marketing strategies - and companies that effectively utilize these latest tools will reap the benefit in the marketplace.

Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of big data. Listeners are guided through tried-and-true methodologies for getting more out of data and using it to the utmost advantage. This audiobook describes the major trends emerging in the field, the pitfalls and triumphs being experienced, and the many considerations surrounding big data, all while guiding listeners toward better decision-making from the perspective of a data scientist.

If your business is like most, it is already generating a staggering amount of data on a regular basis. Understanding what this data truly means is key to succeeding in the marketplace these days and if you are looking for a way to give yourself an edge then Data Analytics is the book you have been waiting for. Inside you will find the tools you need in order to take full advantage of all of the data that your business is already generating regardless if you are part of a major corporation or if you are a small business that is just starting out.

Elevate the Debate helps researchers of all types more effectively communicate their work in any number of areas, from traditional news outlets to the new media platforms of the digital age. After listening to this book, you will be inspired and equipped to use traditional and digital media environments to your advantage. This real-world guide helps you present your data-driven research with greater clarity, coherence, and impact.

While millions of consumers carry on unaware, powerful companies are racing to gain more knowledge and data than anyone, including any government, has ever had. The goal is to understand consumer behavior and desires, from mundane matters to our most private and intimate affairs. This massive trove of data represents an immense prize for these companies. In economic terms it is one of the most valuable assets on the planet.

The greatest threat to privacy today is not the NSA, but good-old American companies. Internet giants, leading retailers, and other firms are voraciously gathering data with little oversight from anyone. In Las Vegas, no company knows the value of data better than Caesars Entertainment. Many thousands of enthusiastic clients pour through the ever-open doors of their casinos. The secret to the company’s success lies in their one unrivaled asset: they know their clients intimately by tracking the activities of the overwhelming majority of gamblers.

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.

In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, best-selling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. Will this be an age of prosperity or of calamity?

While everyone is talking about "big data", the truth is that understanding the "little data" - the stats that underlie newspaper headlines, stock reports, weather forecasts, and so on - is what helps you make smarter decisions at work, at home, and in every aspect of your life. The average person consumes approximately 30 gigabytes of data every single day but has no idea how to interpret it correctly. Everydata explains, through the eyes of an expert economist and statistician, how to decipher the small bytes of data we consume in a day.

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments - also known as randomized controlled trials - designed to test the impact of different online experiences. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world.

Search is as old as language. There has always been a need for one to find something in the jumble of human creation. The first web was nothing more than passing verbal histories down the generations so others could find and remember how not to get eaten; the first search used the power of written language to build simple indexes in printed books, leading to the Dewey Decimal system and reverse indices in more modern times. Then digital happened.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

This audiobook has lots of valuable, eye-opening information about data analytics, which will help you understand the concept of data mining, data collection, big data analytics for business, and business intelligence concepts. With this audiobook, not only will you understand all the internal nitty-gritties about data analytics, you will also understand why data analytics is changing the business arena. You’ll realize that the high-performance analytics will enable you to do stuff that you never thought about before.

Everybody says email marketing died a long time ago. Don't believe them! It's alive, kicking and still the number one way to grow your brand on the Internet. Growing a massive email list means you have a group of people who are interested in what you have to offer. Consider this audiobook as your email marketing blueprint or your one-stop marketing guide that has all the information you need to get started in the world of email marketing.

Forget Excel sheets and static bar graphs and charts - there are more innovative ways that you can capture data, make sense of it, present it to your colleagues, and take the necessary action to provide value for your business. With today's fast-paced world and cutthroat competition, your organization may fall behind if you fail to make use of the emerging trend of big data and data analytics. Whether you want to understand client behaviors, reduce processing time in your factory, or integrate information from several branches, this book can become your guide.

Este audiolibro contiene una amplia y valiosa cantidad de información sobre la analítica de datos que le ayudará a comprender el concepto de data mining o minería de datos, recolección de datos, analíticas de big data para negocios y conceptos de inteligencia empresarial. Con este audiolibro, no solo comprenderá todo lo esencial relacionado con la analítica de datos, sino que también comprenderá por qué la analítica de datos está cambiando el ámbito empresarial.

Spreadsheets and the programs that create them are as common in the business world as cubicles, and yet many people still don't know how to take full advantage of the software they use to create these ever-present files; despite the fact that it could ultimately save them time, headaches, even money in the long run. If you want to ensure you are getting the most out of your spreadsheet software, then Excel: Strategic Use of the Calc Spreadsheet in Business Environments, Data Analysis and Business Modeling is the book you have been waiting for.

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business to help you make the best possible decision. If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.

This is a two-book bundle related to blockchain and data analytics! Included in this bundle: Blockchain: Innovative and Modern Financial Framework That Will Revolutionize the Next Digital Economy with Blockchain Technology and Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business: Leveraging the Power of Data Analytics, Data Science, and Predictive Analytics for Beginners.