Data Science For Dummies

Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 1119327636
Size: 10.70 MB
Format: PDF
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Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. 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, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here's what to expect: Provides a background in big data and data engineering before moving on to data science and how it's applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It's a big, big data world out there--let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.

Python For Data Science For Dummies

Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119547628
Size: 56.39 MB
Format: PDF, ePub, Mobi
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The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

Exam Prep For Data Science For Dummies

Author: David Mason
Publisher: Rico Publications
ISBN:
Size: 45.40 MB
Format: PDF, ePub, Mobi
View: 5495
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Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Data Science for Dummies Items include highly probable exam items: Control register, question, pad, principles, organization, Internet traffic engineering, Priority encoder, JPEG, Instruction cycle, Input device, download, Input device, BNC connector, Token ring, Device driver, Precision, and more.

Exam Prep For Python For Data Science For Dummies

Author: David Mason
Publisher: Rico Publications
ISBN:
Size: 16.51 MB
Format: PDF, ePub
View: 925
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Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Python for Data Science for Dummies Items include highly probable exam items: design, usage, Motherboard, message, multimedia, SIMD, Arithmetic logic unit, Neural network, web site, Evolution, Superscalar, Opcode, Routing, JPEG, second, Wait state, bit, Clock rate, PostScript, Shared memory, and more.

Data Science Strategy For Dummies

Author: Ulrika Jägare
Publisher: John Wiley & Sons
ISBN: 1119566274
Size: 58.37 MB
Format: PDF, ePub, Mobi
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All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

Predictive Analytics For Dummies

Author: Dr. Anasse Bari
Publisher: John Wiley & Sons
ISBN: 1119267013
Size: 18.20 MB
Format: PDF, ePub, Mobi
View: 2717
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Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little knowledge and know-how, and Predictive Analytics For Dummies gets you there fast. With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data. In no time, you'll learn how to incorporate algorithms through data models, identify similarities and relationships in your data, and predict the future through data classification. Along the way, you'll develop a roadmap by preparing your data, creating goals, processing your data, and building a predictive model that will get you stakeholder buy-in. Big Data has taken the marketplace by storm, and companies are seeking qualified talent to quickly fill positions to analyze the massive amount of data that are being collected each day. If you want to get in on the action and either learn or deepen your understanding of how to use predictive analytics to find real relationships between what you know and what you want to know, everything you need is a page away! Offers common use cases to help you get started Covers details on modeling, k-means clustering, and more Includes information on structuring your data Provides tips on outlining business goals and approaches The future starts today with the help of Predictive Analytics For Dummies.

Machine Learning For Dummies

Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119245516
Size: 10.67 MB
Format: PDF, Mobi
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Your no-nonsense guide to making sense of machine learning Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality. Whether you're maddened by the math behind machine learning, apprehensive about AI, perplexed by preprocessing data—or anything in between—this guide makes it easier to understand and implement machine learning seamlessly. Grasp how day-to-day activities are powered by machine learning Learn to 'speak' certain languages, such as Python and R, to teach machines to perform pattern-oriented tasks and data analysis Learn to code in R using R Studio Find out how to code in Python using Anaconda Dive into this complete beginner's guide so you are armed with all you need to know about machine learning!

Exam Prep For Data Science Strategy For Dummies

Author: David Mason
Publisher: Rico Publications
ISBN:
Size: 49.98 MB
Format: PDF, Kindle
View: 4408
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Computer science is the theory, experimentation, and engineering that form the basis for the design and use of computers. This book provides over 2,000 Exam Prep questions and answers to accompany the text Data Science Strategy for Dummies Items include highly probable exam items: DBpedia, Virtual fixture, Virtual Acoustic Space, Rapid serial visual presentation, Clickworkers, Information design, Spatial file manager, Mouse, Virtway, Sketchpad, Unicode, System Usability Scale, Shading, and more.

Environmental Science For Dummies

Author: Alecia M. Spooner
Publisher: John Wiley & Sons
ISBN: 111823961X
Size: 77.94 MB
Format: PDF, ePub, Docs
View: 3466
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The easy way to score high in Environmental Science Environmental science is a fascinating subject, but somestudents have a hard time grasping the interrelationships of thenatural world and the role that humans play within the environment.Presented in a straightforward format, Environmental Science ForDummies gives you plain-English, easy-to-understandexplanations of the concepts and material you'll encounter in yourintroductory-level course. Here, you get discussions of the earth's natural resources andthe problems that arise when resources like air, water, and soilare contaminated by manmade pollutants. Sustainability is alsoexamined, including the latest advancements in recycling and energyproduction technology. Environmental Science For Dummies isthe most accessible book on the market for anyone who needs to geta handle on the topic, whether you're looking to supplementclassroom learning or simply interested in learning more about ourenvironment and the problems we face. Presents straightforward information on complex concepts Tracks to a typical introductory level Environmental Sciencecourse Serves as an excellent supplement to classroom learning If you're enrolled in an introductory Environmental Sciencecourse or studying for the AP Environmental Science exam, thishands-on, friendly guide has you covered.

R Projects For Dummies

Author: Joseph Schmuller
Publisher: John Wiley & Sons
ISBN: 1119446171
Size: 78.83 MB
Format: PDF, ePub
View: 4519
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Make the most of R’s extensive toolset R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities in an array of scenarios. The depth of the project experience is unmatched by any other content online or in print. And you just might increase your statistics knowledge along the way, too! R is a free tool, and it’s the basis of a huge amount of work in data science. It's taking the place of costly statistical software that sometimes takes a long time to learn. One reason is that you can use just a few R commands to create sophisticated analyses. Another is that easy-to-learn R graphics enable you make the results of those analyses available to a wide audience. This book will help you sharpen your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping, and more. Appropriate for R users at all levels Helps R programmers plan and complete their own projects Focuses on R functions and packages Shows how to carry out complex analyses by just entering a few commands If you’re brand new to R or just want to brush up on your skills, R Projects For Dummies will help you complete your projects with ease.