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Programming predictive analytics — use in-depth tips to install software, modules, and libraries to get going with prediction models; Making predictive analytics work — gain an understanding of the typical pushback on predictive analytics adoption and how to overcome it; Open the book and find: Real-world tips for creating business value. “Siegel covers predictive analytics from start to finish, bringing it to life and leaving you wanting more.” —Brian Seeley, Manager, Risk Analytics, Paychex, Inc. “A wonderful look into the world of predictive analytics from the perspec-tive of a true practitioner.” —Shawn Hushman, VP, Analytic Insights, Kelley Blue Book. Predictive Analytics For Dummies - Kindle edition by Bari, Anasse, Chaouchi, Mohamed, Jung, Tommy. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Predictive Analytics For Dummies.

Download and Read online Data Science For Dummies ebooks in PDF, epub, Tuebl Mobi, Kindle Book. Get Free Data Science For Dummies Textbook and unlimited access to our library by created an account. Fast Download speed and ads Free!

Data Science For Dummies

Author: Lillian Pierson
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2017-03-06
ISBN 10: 1119327636
ISBN 13: 9781119327639
Language: EN, FR, DE, ES & NL

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.

Data Science For Dummies

Author: Lillian Pierson
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2021-09-15
ISBN 10: 1119811554
ISBN 13: 9781119811558
Language: EN, FR, DE, ES & NL

Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Python for Data Science For Dummies

Dummies
Author: John Paul Mueller,Luca Massaron
Publsiher: John Wiley & Sons
Total Pages: 496
Release: 2019-02-27
ISBN 10: 1119547628
ISBN 13: 9781119547624
Language: EN, FR, DE, ES & NL
Predictive Analytics For Dummies PDF Free Download

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.

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Data Science Programming All In One For Dummies

Author: John Paul Mueller,Luca Massaron
Publsiher: John Wiley & Sons
Total Pages: 768
Release: 2020-01-09
ISBN 10: 1119626110
ISBN 13: 9781119626114
Language: EN, FR, DE, ES & NL
Data Science Programming All In One For Dummies Book Review:

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!

Python for Data Science For Dummies

Author: John Paul Mueller,Luca Massaron
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2015-07-07
ISBN 10: 1118844181
ISBN 13: 9781118844182
Language: EN, FR, DE, ES & NL

Unleash the power of Python for your data analysis projects with For Dummies! 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. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Data Science Strategy For Dummies

Author: Ulrika Jägare
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2019-06-12
ISBN 10: 1119566274
ISBN 13: 9781119566274
Language: EN, FR, DE, ES & NL

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—helping you get up and running in your area of interest almost right away. This means you'll be finishing off your first app or building and remote-controlling your own robot much faster than you can believe. Get a thorough grounding in the language basics Learn how the syntax is applied in high-profile industries Apply Python to projects in enterprise Find out how Python can get you into hot careers in AI, big data, and more Whether you're a newbie coder or just want to add Python to your magic box of tricks, this is the perfect, practical introduction—and one you'll return to as you grow your career.

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Blockchain Data Analytics For Dummies

Author: Michael G. Solomon
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2020-09-02
ISBN 10: 1119651751
ISBN 13: 9781119651758
Language: EN, FR, DE, ES & NL

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Blockchain Data Analytics For Dummies Book Review:

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!

Getting a Big Data Job For Dummies

Author: Jason Williamson
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2014-12-31
ISBN 10: 1118903404
ISBN 13: 9781118903407
Language: EN, FR, DE, ES & NL

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 1.9 million additional U.S. jobs in big data by 2015. 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.

Excel Data Analysis For Dummies

Author: Paul McFedries
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2018-10-30
ISBN 10: 1119518229
ISBN 13: 9781119518228
Language: EN, FR, DE, ES & NL

Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. 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. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.

Business Intelligence For Dummies

Author: Swain Scheps
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2011-02-04
ISBN 10: 1118051416
ISBN 13: 9781118051412
Language: EN, FR, DE, ES & NL

You're intelligent, right? So you've already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business. But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start? Business Intelligence For Dummies makes BI understandable! 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. You’ll find out how to: Understand the principles and practical elements of BI Determine what your business needs Compare different approaches to BI Build a solid BI architecture and roadmap Design, develop, and deploy your BI plan Relate BI to data warehousing, ERP, CRM, and e-commerce Analyze emerging trends and developing BI tools to see what else may be useful Whether you’re the business owner or the person charged with developing and implementing a BI strategy, checking out Business Intelligence For Dummies is a good business decision.

Algorithms For Dummies

Author: John Paul Mueller,Luca Massaron
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2017-04-11
ISBN 10: 1119330521
ISBN 13: 9781119330523
Language: EN, FR, DE, ES & NL

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.

R for Data Science

Author: Hadley Wickham,Garrett Grolemund
Publsiher: 'O'Reilly Media, Inc.'
Total Pages: 492
Release: 2016-12-12
ISBN 10: 1491910364
ISBN 13: 9781491910368
Language: EN, FR, DE, ES & NL

'This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience'--

Semantic Web For Dummies

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Predictive Analytics For Dummies PDF Free Download 64 Bit

Author: Jeffrey T. Pollock
Publsiher: John Wiley & Sons
Total Pages: 384
Release: 2009-03-30
ISBN 10: 9780470498187
ISBN 13: 0470498188
Language: EN, FR, DE, ES & NL

Predictive Analytics For Dummies Pdf Free Download

Semantic Web technology is already changing how we interact with data on the Web. By connecting random information on the Internet in new ways, Web 3.0, as it is sometimes called, represents an exciting online evolution. Whether you’re a consumer doing research online, a business owner who wants to offer your customers the most useful Web site, or an IT manager eager to understand Semantic Web solutions, Semantic Web For Dummies is the place to start! It will help you: Know how the typical Internet user will recognize the effects of the Semantic Web Explore all the benefits the data Web offers to businesses and decide whether it’s right for your business Make sense of the technology and identify applications for it See how the Semantic Web is about data while the “old” Internet was about documents Tour the architectures, strategies, and standards involved in Semantic Web technology Learn a bit about the languages that make it all work: Resource Description Framework (RDF) and Web Ontology Language (OWL) Discover the variety of information-based jobs that could become available in aTotal Pages: 330Release: 2015-04-14ISBN 10: 1491904402ISBN 13: 9781491904404Language: EN, FR, DE, ES & NL

Data Analysis For Dummies Pdf

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases