A Simple Guide To Technology And Analytics
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A Simple Guide To Technology And Analytics
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Author : Brian J. Evans
language : en
Publisher: CRC Press
Release Date : 2021-09-12
A Simple Guide To Technology And Analytics written by Brian J. Evans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-12 with Computers categories.
Everyday technology is constantly changing, and it’s hard to keep up with it at times. What is all this talk about automation, STEM, analytics and super-computers, and how will it really affect my daily life at work and in the home? This book is a simple guide to everyday technology and analytics written in plain language. It starts with explaining how computer networks are increasing in speed so fast that we can do more in less time than ever before. It explains the analytical jargon in plain English and why robotics in the home will be aided by the new technology of the quantum computer. Richly furnished with over 200 illustrations, photos and with minimal equations, A Simple Guide to Technology and Analytics is a ready reference book for those times when you don’t really understand the technology and analytics being talked about. It explains complicated topics such as automated character recognition in a very simple way, and has simple exercises for the reader to fully understand the technology (with answers at the back). It even has explanations on how home appliances work, which are very useful the next time you go shopping for a microwave or TV. Even the Glossary at the back can be used as a quick look-up explanation for those on the go.
Data Analytics For Beginners
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Author : Tech World
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-05-29
Data Analytics For Beginners written by Tech World and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-29 with Big data categories.
DATA ANALYTICS FOR BEGINNERS Are you ready to discover why data analytics is the only hope for fact based decisions? Would you like learn how insightful-driven decisions can help organizations manage their strategic, operation and financial performance that can help them increase their shareholder value? This book explores all the concepts about data analytics that can help any beginner to master data analytics and its applications in several industries. Chapter one provides an overview of data analytics where the foundations of data analytics are explained in details. If you want to get started right away, you'll also learn the requirements for data scientists in this chapter. In chapter two, a detailed discourse on conducting analytic data research is provided to give you a big picture view of how data analytics is done. In chapter three, descriptive statistics is explored where you'll learn measures of central tendency and measures of dispersion. Chapter four reviews all the charts and graphs that you can use to communicate your analytic results. In chapter five, you'll learn the applications of data analysis in organizations. Finally, in chapter six, you'll learn some of the valuable tools that can help you advance your professional career in data analytics. You'll also learn why smart contracts are emerging as the next technologies for smart data analysis. Take action today and discover the power of Data AnalyticsDOWNLOAD YOUR COPY TODAY
Data Analytics
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Author : Edward Mize
language : en
Publisher:
Release Date : 2019-07-16
Data Analytics written by Edward Mize and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-16 with Business & Economics categories.
Learn how to use data analytics to improve efficiencies, accelerate growth, and increase sales (even if you know NOTHING) What if you could leverage the power of data analytics in your job, in your business, or at school? Imagine being a master of data analytics; solving problems quicker and doing work faster than ever before Multi-time best selling information technology and mathematics author, Edward Mize, presents the perfect data analytics guide for any beginner. With books and a blog that receives tens of thousands of readers monthly, Edward has compiled the most practical data analytics book for a beginner. Well-known and incredibly popular for his ability to teach hard topics in an easy-to-understand way, you won't have any issues learning (and implementing everything you learn). Do you feel like your business or work doesn't benefit from the edge of IT, math, and technology? Do you wish you could quickly and easily fix holes in your execution (marketing, operations, sales, etc.)? Or if the idea of exploring data analytics that can benefit your work, business, or school sounds appealing... THEN THIS BOOK IS FOR YOU In this book, you will get: A comprehensive breakdown of everything you learn so that it is easy-to-understand and perfect for anyone who is a beginner. An understanding of the edge that business intelligence and data analytics plays in the real world today. An introduction to the different types of data analytics, what it means in the real world, and how you can apply it in your life for better quality and more powerful results. Edward's personal email address for unlimited customer support if you have any questions And much, much more... Well, what are you waiting for? Grab your copy today by clicking the BUY NOW button at the top of this page
Data Analytics
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Author : Benjamin Smith
language : en
Publisher:
Release Date : 2020-04-26
Data Analytics written by Benjamin Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-26 with categories.
Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and gathering data is one thing while processing it is an entirely separate issue. It is not something that can be accomplished carelessly by merely staring at the data. If you are hoping to derive reasonable insights from the data generated, you must understand the data you are gathering, the approaches that are required, and the appropriate techniques to use when analyzing this data. How exactly can all this be achieved - well, this is exactly where this book comes in. The book presents the A-Z on the realms of data analytics. It is a beginner's friendly guide. Hence, if you are totally new in the world of data analytics, we've got you covered! In this book, you'll find useful strategies and resources that can be used to derive reasonable insight on the data generated. Hey! Data analytics is not the scary jargon you've probably have heard about. Why not start by buying this book today and uncover those simple yet comprehensive strategies employed in the world of data analytics!What to expect in this book: -Uncover the nitty-gritty of data and big data-The two common data structures employed in data analytics-The essentials of machine learning and how it relates to data analytics-The data analytics life cycle-Unraveling probability distributions and inferential statistics processes-Some machine learning approaches to data analytics-How to clean your data for analysis-Data visualization tools and strategies-Some common analytical and statistical packages in R, -And much more!Let me work with you side by side as we discover the realms of data analytics! Grab your copy now!
The Ridiculously Simple Guide To Google Analytics
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Author : Scott La Counte
language : en
Publisher: Ridiculously Simple Books
Release Date : 2019-08-22
The Ridiculously Simple Guide To Google Analytics written by Scott La Counte and has been published by Ridiculously Simple Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-22 with Computers categories.
If you have a website, then you have probably already heard all about rate, exit rate, organic search traffic, and more. They’re nice words, but how do you use them to understand your visitors and get more? Google Analytics is a powerful resource that can tell you the smallest details about your visitor traffic, but if you are asking yourself what it means or why it even matters, then you’re like most businesses. Analytics is so data heavy that you can be easily overwhelmed and lost. If you are new to Analytics, or even have used it a few times, then this guide will help you understand what’s in front of your eyes. It won’t get into the weeds with professional tips better suited for professional marketers. It also won’t go into detail about advanced Analytics elements—the keyword here is Basics! The goal is to get you started quickly. Ready to get started? Let’s go!
Data Analytics For Beginners
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Author : Paul Kinley
language : en
Publisher:
Release Date : 2016-11-03
Data Analytics For Beginners written by Paul Kinley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with categories.
DATA ANALYTICS FOR BEGINNER: IN ORDER TO SUCEED IN TODAYS'Ss FAST PACE BUSINESS ENVIRONEMNT, YOU NEED TO MASTER DATA ANALYTICS. Data Analytics is the most powerful tool to analyze today's business environment and to predict future developments. Is it not the dream of every business owner to know exactly what the customer will buy in 6 months or what the new product hype will look like in your OWN industry? Data Analytics is the tool that will bring you answers to these questions. Here's why Data Analytics for Beginners will bring your business to a complete new level: How you can use data analytics to improve your business How to plan data analysis to know exactly what your target group wants How to implement descriptive analysis You will learn the exact techniques that are required to master Data Analytics Our customer's feedback I am the owner of a home supplies shop with 15 employees and this book improved the sales by 18,5% during the last 3 months. Richard S., Boston. Data Analytics for Beginners was a eye opener for me and my business. With this book I research all of my products on sale and my skills about the market I am in enhanced drastically. I can recommend this book to everyone that is planning to improve the business. Anamda R., Sacramento. During my IT studies this book supported me a lot with anaylsis about future business trends. This book has a easy to understand writing style without any expert language. In other words: every beginner can work with this book right away.Thomas E., Baltimore. Here's what you will get Planning a Study Surveys Experiments Gathering Data How to select useful samples Avoiding Bias in Data Sets Descriptive Analysis Mean Median Mode Variance Standard Deviation Coefficient of Variation Pie Charts How to create Pie Charts in Excel Bar Graphs How to Create Bar Charts in Excel Time Charts and Line Charts How to create a time chart in excel How to create a line chart in excel Histograms How to create a histogram in Excel Scatter Plots How to create a Scatter Chart in Excel Business Intelligence Data Analytics in Business and Industry
Data Analytics For Absolute Beginners A Deconstructed Guide To Data Literacy
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Author : Oliver Theobald
language : en
Publisher:
Release Date : 2019-07-21
Data Analytics For Absolute Beginners A Deconstructed Guide To Data Literacy written by Oliver Theobald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-21 with categories.
While exposure to data has become more or less a daily ritual for the rank-and-file knowledge worker, true understanding-treated in this book as data literacy-resides in knowing what lies behind the data. Everything from the data's source to the specific choice of input variables, algorithmic transformations, and visual representation shape the accuracy, relevance, and value of the data and mark its journey from raw data to business insight. It's also important to grasp the terminology and basic concepts of data analytics as much as it is to have the financial literacy to be successful as a decisionmaker in the business world. In this book, we make sense of data analytics without the assumption that you understand specific data science terminology or advanced programming languages to set you on your path. Topics covered in this book: Data Mining Big Data Machine Learning Alternative Data Data Management Web Scraping Regression Analysis Clustering Analysis Association Analysis Data Visualization Business Intelligence
Data Analytics
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Author : Benjamin Smith
language : en
Publisher:
Release Date : 2021-03-15
Data Analytics written by Benjamin Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-15 with categories.
Advancement in technology and the resulting shifts in everyday practice have brought about a fast-growing "parallel world" with new material, new data, and new sources. Irrespective of how anyone describes it, the data trend is becoming increasingly real, increasingly prevalent, and far more significant. Collating and gathering data is one thing while processing it is an entirely separate issue. It is not something that can be accomplished carelessly by merely staring at the data. If you are hoping to derive reasonable insights from the data generated, you must understand the data you are gathering, the approaches that are required, and the appropriate techniques to use when analyzing this data. How exactly can all this be achieved - well, this is exactly where this book comes in. The book presents the A-Z on the realms of data analytics. It is a beginner's friendly guide. Hence, if you are totally new in the world of data analytics, we've got you covered! In this book, you'll find useful strategies and resources that can be used to derive reasonable insight on the data generated. Hey! Data analytics is not the scary jargon you've probably have heard about. Why not start by buying this book today and uncover those simple yet comprehensive strategies employed in the world of data analytics!What to expect in this book: -Uncover the nitty-gritty of data and big data-The two common data structures employed in data analytics-The essentials of machine learning and how it relates to data analytics-The data analytics life cycle-Unraveling probability distributions and inferential statistics processes-Some machine learning approaches to data analytics-How to clean your data for analysis-Data visualization tools and strategies-Some common analytical and statistical packages in R, -And much more!Let me work with you side by side as we discover the realms of data analytics! Grab your copy now!Are you tired of books over-complicating computer concepts? Do you want to learn about data analytics but can't find a book with decent computer concept delivery? Are you intimidated by the menacing formulas and all the technical talk when you just want to enjoy some simple data analysis? Are you trying to improve your data analysis skills but want interesting examples to go along with them? If any of these questions pique your interest, then this book is definitely for you. This book is primarily focused on ensuring that the readers that are already well-versed in the concepts and fundamentals of data analytics will be inspired to know that the horizon is still big and that you have a lot yet to discover. Here are some key features of this book.-Emphasis on practical examples and how the advanced techniques described in the chapters can be used in real-life to improve clarity and understanding.-Various topics such as sophisticated algorithms or even the Euclidean Square Estimate are approached in a way that the reader can understand the very basics of it and then be introduced to the technical jargon. -This ensures that the reader does not get lost in all of the mathematical and statistical words.-Efficient demonstration of almost every practical topic with the use of Python so that the readers can recreate the projects by themselves.Even though intuition is very important for a data analyst, it can only come with experience. This book features some handy tips and practices that the expert data analyst can put into practice. So the reader's don't have to wait for years to pick up on a short and efficient workaround, this book already has them for you. If you're interested in taking a journey through the realms of advanced data analytics, then click the Buy Now button to get started today!
Building A Digital Analytics Organization
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Author : Judah Phillips
language : en
Publisher: FT Press
Release Date : 2013-07-25
Building A Digital Analytics Organization written by Judah Phillips and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-25 with Computers categories.
Drive maximum business value from digital analytics, web analytics, site analytics, and business intelligence! In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for using it to reduce costs and increase profitable revenue throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author’s own extensive experience. Coverage includes: key concepts; focusing initiatives and strategy on business value, not technology; building an effective analytics organization; choosing the right tools (and understanding their limitations); creating processes and managing data; analyzing paid, owned, and earned digital media; performing competitive and qualitative analyses; optimizing and testing sites; implementing integrated multichannel digital analytics; targeting consumers; automating marketing processes; and preparing for the revolutionary “analytical economy.” For all business practitioners interested in analytics and business intelligence in all areas of the organization.
Data Science
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Author : Richard Hurley
language : en
Publisher:
Release Date : 2019-11-02
Data Science written by Richard Hurley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-02 with Big data categories.
If you want to learn about data science and big data, then keep reading... Two manuscripts in one book: Data Science: What You Need to Know About Data Analytics, Data Mining, Regression Analysis, Artificial Intelligence, Big Data for Business, Data Visualization, Database Querying, and Machine Learning Big Data: A Guide to Big Data Trends, Artificial Intelligence, Machine Learning, Predictive Analytics, Internet of Things, Data Science, Data Analytics, Business Intelligence, and Data Mining This book will discuss everything that you need to know when it comes to working in the field of data science. This world has changed, and with the modern technology that we have, it is easier than ever for companies to amass a large amount of data on the industry, on their competition, on their products, and their customers. Gathering the data is the easy part, though. Being able to sort through this data and understand what it is saying is going to be a unique challenge all on its own. This is where the process and field of data science can come in. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today. Some of the topics covered in part 1 of this book include: What is Data Science? What Exactly Does a Data Scientist Do? A Look at What Data Analytics Is All About What is Data Mining and How Does It Fit in with Data Science? Regression Analysis Why is Data Visualization So Important When It Comes to Understanding Your Data? How to work with Database Querying A Look at Artificial Intelligence What is Machine Learning and How Is It Different from Artificial Intelligence? What is the Future of Artificial Intelligence and Machine Learning? And much more! Some of the topics covered in part 2 of this book include: What is big data, and why is it important? The five V's behind big data How big data is already impacting your life, and where big data may be headed How big data and your everyday devices and appliances will come together in unexpected ways via the Internet of Things How companies and governments are using predictive analytics to get ahead of the competition or improve service How big data is used for fraud detection How big data can train intelligent computer systems The many ways large corporations are benefiting from big data and the tools that use it like machine learning, AI, and predictive analytics Upcoming trends in big data that are sure to have a large impact on your future Artificial intelligence, and how big data drives its development What machine learning is and how it is tied to big data The relationship between big data, data analytics, and business intelligence Insights into how big data impacts privacy issues The pros and cons regarding big data And much, much more! So if you want to learn more about data science and big data, click the "add to cart" button!