Where do you start? It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You'll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more.
The fast and easy way to make sense of statistics for bigdata Does the subject of data analysis make you dizzy? You've come tothe right place! Statistics For Big Data For Dummies breaksthis often-overwhelming subject down into easily digestible parts,offering new and aspiring data analysts the foundation they need tobe successful in the field.
Inside, you'll find an easy-to-followintroduction to exploratory data analysis, the lowdown oncollecting, cleaning, and organizing data, everything you need toknow about interpreting data using common software and programminglanguages, plain-English explanations of how to make sense of datain the real world, and much more.
Data has never been easier to come by, and the tools studentsand professionals need to enter the world of big data are based onapplied statistics. While the word "statistics" alone can evokefeelings of anxiety in even the most confident student orprofessional, it doesn't have to. Written in the familiar andfriendly tone that has defined the For Dummies brand for more thantwenty years, Statistics For Big Data For Dummies takes theintimidation out of the subject, offering clear explanations andtons of step-by-step instruction to help you make sense of datamining—without losing your cool.
Helps you to identify valid, useful, and understandablepatterns in data Provides guidance on extracting previously unknown informationfrom large databases Shows you how to discover patterns available in big data Gives you access to the latest tools and techniques for workingin big data If you're a student enrolled in a related Applied Statisticscourse or a professional looking to expand your skillset,Statistics For Big Data For Dummies gives you access toeverything you need to succeed.
Get ahead of the curve—learn about big data on the blockchain Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions.
Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain. Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool.
Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there! Learn how blockchain technologies work and how they can integrate with big data Discover the power and potential of blockchain analytics Establish data models and quickly mine for insights and results Create data visualizations from blockchain analysis Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what "big data" means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade.
This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medicine, and defense, are harnessing massive amounts of data to reap a competitive advantage. The demand for big data professionals is growing every year, and experts forecast an estimated 1.
Whether your niche is developing the technology, handling the data, or analyzing the results, turning your attention to a career in big data can lead to a more secure, more lucrative career path. Getting a Big Data Job For Dummies provides an overview of the big data career arc, and then shows you how to get your foot in the door with topics like: The education you need to succeed The range of big data career path options An overview of major big data employers A plan to develop your job-landing strategy Your analytic inclinations may be your ticket to long-lasting success.
In a highly competitive job market, developing your data skills can create a situation where you pick your employer rather than the other way around.
If you're ready to get in on the ground floor of the next big thing, Getting a Big Data Job For Dummies will teach you everything you need to know to get started today.
Performing your first Web site analysis just got a whole lot easier. It explains how to get the stats you need, then helps you analyze and apply that information to improve traffic and click-through rate on your Web site. Web Analytics For Dummies helps you get it right the first time—and every time. Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms.
Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives.
Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python!
Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. How to Visualize Data with R [Video]. APC January Cosmopolitan UK June Playboy South Africa February Playboy Sweden November It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.
Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. How are they doing it?
Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Take a deep dive to understand how developing your data science dogma can drive your business—ya dig?
Enter the world of data science: the practice of using scientific methods, processes, and algorithms to gain knowledge and insights from any type of data. Your new go-to guide breaks down this vast topic into three smaller parts—big data, data science, and data engineering—and then shows you how to combine those areas to produce value and make informed decisions to drive business growth.
Find out how to ask the pressing questions you need your data to answer by picking up your copy today. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.
Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data.
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