Data Science For Dummies

Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 1119327636
Size: 68.20 MB
Format: PDF, Docs
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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: 34.98 MB
Format: PDF, ePub, Docs
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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.

Data Science For Dummies

Author: Lillian Pierson
Publisher: John Wiley & Sons
ISBN: 1118841557
Size: 35.74 MB
Format: PDF, ePub, Mobi
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"Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals and students interested in making sense of their organization's massive data sets and applying their findings to real-world business scenarios. From uncovering rich data sources to managing large amounts of data within hardware and software limitations, ensuring consistency in reporting, merging various data sources, and beyond, you'll develop the know-how you need to effectively interpret data and tell a story that can be understood by anyone in your organization."--Provided by publisher.

Python For Data Science For Dummies 2nd Edition

Author: John Paul Mueller
Publisher:
ISBN:
Size: 66.56 MB
Format: PDF, Mobi
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Written for people who are new to data analysis, this 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. --

Data Science Strategy For Dummies

Author: Ulrika Jägare
Publisher: John Wiley & Sons
ISBN: 1119566258
Size: 25.88 MB
Format: PDF
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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.

Data Science Programming All In One For Dummies

Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119626110
Size: 70.98 MB
Format: PDF, ePub
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Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. 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. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Microsoft Data Analytics For Dummies

Author: Jared Decker
Publisher: For Dummies
ISBN: 9781119696360
Size: 31.84 MB
Format: PDF, Kindle
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This book was written by analytics experts who typically design enterprise data warehouses and other analytics infrastructure, bringing that system-level experience to help make the learning curve for front-end tools as small as possible the end-consumers of data. Key business decisions can no longer be made without data and the analytical outputs of data: insights and conclusions. Microsoft offers an industry-leading suite of business intelligence tools, providing impressive flexibility and power to turn raw data into insights, all with a reasonable learning curve. Microsoft provides a rich set of tools to enable business users of data to procure and transform data so it can be useful for explaining, visualizing, and even making predictions from the data. Along with Excel, these tools include Power Pivot, Power Query, and Power BI and each application is focused on one or more area of the business analytics process. For example, Power Pivot and Power Query are powerful tools for retrieving data from disparate sources and merging it together to enable comprehensive analysis spanning a variety of data sources. Many analysts and decision makers think that large enterprise platforms are required to get into data science and machine learning. However, Microsoft packs a lot of power into its offerings and analysts just need to know where to find it. Microsoft Excel offers a wide array of built in statistical functions enabling users to build models, produce forecasts, and perform what-if analysis on their dataset. Power BI, often viewed solely as a data visualization tool, integrates with the two de facto standards for data analysis: R and Python. These free software environments offer a full suite of statistical computing and graphics, from very basic to the most advanced techniques imaginable, and all of these methods are accessible in Power BI.

Machine Learning For Dummies

Author: John Paul Mueller
Publisher: John Wiley & Sons
ISBN: 1119245516
Size: 78.93 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!

Environmental Science For Dummies

Author: Alecia M. Spooner
Publisher: John Wiley & Sons
ISBN: 111823961X
Size: 14.78 MB
Format: PDF, ePub, Docs
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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.

Adobe Analytics For Dummies

Author: Karlins
Publisher: John Wiley & Sons
ISBN: 1119446082
Size: 41.21 MB
Format: PDF, ePub, Docs
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Use Adobe Analytics as a marketer —not a programmer! If you're a marketer in need of a non-technical, beginner's reference to using Adobe Analytics, this book is the perfect place to start. Adobe Analytics For Dummies arms you with a basic knowledge of the key features so that you can start using it quickly and effectively. Even if you're a digital marketer who doesn't have their hands in data day in and day out, this easy-to-follow reference makes it simple to utilize Adobe Analytics. With the help of this book, you'll better understand how your marketing efforts are performing, converting, being engaged with, and being shared in the digital space. Evaluate your marketing strategies and campaigns Explore implementation fundamentals and report architecture Apply Adobe Analytics to multiple sources Succeed in the workplace and expand your marketing skillset The marketing world is continually growing and evolving, and Adobe Analytics For Dummies will help you stay ahead of the curve.