The Data Science category has 53 audiobooks on Listento.it, with an average listener rating of 3.7★ across 11 ratings. The most-rated is Blockchain Technology Explained.
Data Analytics For Beginners
Summary
Gain an upper hand in your career, even if you consider yourself less technologically advanced than others.... Do you dream of a life where you can give back to your community in a meaningful way? Are you ready to commit yourself to something bigger than yourself--something that will, at the same time, earn you up to $100,000 a year or more? Are you fascinated by the technology of today’s time and excited at the prospect of what the future may hold? Times are changing, and they are doing so at a rate unknown by man. The average life expectancy has more than doubled in the last 100 years, and technological advancements in medicine have allowed us all to live more prosperous lives. Likewise, scientific breakthroughs are now leading us into the depths of the oceans and out into the stars and beyond. But what’s next? Well, data-ism, also known as big data, is what's next. The most exciting part about this is that the field is so fresh and new, that anyone with a little drive and curiosity can become highly involved. With the right tools and techniques, you can master data analytics in just minutes a day, setting yourself up for massive success all while becoming a key player in the future of humanity. In Data Analytics for Beginners, you’ll discover: What data analytics is and how it can enhance every single aspect of your life The different types of data analytics and which one will best fit your unique skill set A detailed outlook upon the evolution of data and exactly why this future looks so bright Scientific insight into the philosophy of data-ism that will alter the way in which you perceive the world An introduction and overview of the basic skills you’ll need to know, empowering you towards further action Why data analytics is the future of business and what this could mean for your career How becoming a data analyst will allow you to work in any industry you’d like, and why this kind of freedom can't always be found elsewhere …and so much more. Becoming a data analyst isn’t just a job for the ridiculous overachiever or extremely intelligent individual. Anyone can become a data analyst (yes, even you) regardless of your starting point or skills in math and technology. What the future will actually hold, we cannot say, but one thing is for certain: We’ll be collecting data along the entire way. You couldn’t be facing a better opportunity to get in front of this movement than right now - your future in data analytics is just one click away.... If you’re ready to step boldly into the future of your dreams and give back to humanity in the most profound way possible, then scroll up and click the “Add to Cart” button right now."
©2021 S.H Publishing (P)2021 S.H Publishing
Data Analytics
Summary
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 audiobook 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 audiobook, 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 audiobook today and uncover those simple yet comprehensive strategies employed in the world of data analytics! What to expect in this audiobook: 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! Buy your copy now!
©2020 Benjamin Smith (P)2020 Benjamin Smith
Computer Networking for Beginners
Summary
If you are a student or a professional looking for more tech knowledge and skills, or if you are simply curious about the fascinating world of computer networking and its powerful applications in our everyday life, then this is the audiobook for you! In Computer Networking for Beginners Daniel Howard has condensed all the knowledge you need to pass your next exam or take a professional certification in a simple and clear way: Starting from the basics, you will learn both the theoretical and the practical elements of networking, becoming proficient with network technology, regardless of your previous experience. Learning how computers connect is not necessarily intended only for professionals. Wireless technology is all around us: When we surf the web, use social networks, or chat with friends and colleagues, we instantaneously send millions of information from one device to another. Anyone should be more aware of how this world works, especially in order to understand and avoid the potential negative impacts on our work and our privacy of the several security issues that could unexpectedly come out. Here is a tiny fraction of what you will find: A complete explanation of the different network systems and their components The OSI reference model Computer network communication systems and their applications Internet, Ethernet, and wireless technology How a router works The precise definition of IP address, with step-by-step instructions to configure it All the secrets to the little-known process of IP subnetting How to configure a VLAN An introduction to Cisco System and the CCNA certification Computer networks’ vulnerabilities and the basics of cybersecurity Machine learning techniques As you can easily understand, unlike all the other guides on the same topic that give you just the basics to get started, here the author has left nothing out. Becoming a professional networking engineer is now easier than ever. If you are ready to start the fascinating journey to discover this world, then get this audiobook now.
©2019 Jason Callaway (P)2020 Jason Callaway
Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work
Summary
If you are looking for a complete beginner's guide to help you learn about machine learning in just a few hours using examples, then you need to check out this audiobook. Machine learning is an incredibly dense topic. It’s hard to imagine condensing it into an easily understood and digestible format. However, this audiobook aims to do exactly that. Grab your copy today and learn: The different types of learning algorithms you can expect to encounter The numerous applications of machine learning The future of machine learning The best practices for picking up machine learning What languages and libraries to work with The different types of machine learning and how they differ The various problems you can solve with machine learning algorithms And much more Starting from nothing, we slowly work our way through all the concepts that are central to machine learning. By the end of this audiobook, you’re going to feel as though you have an extremely firm understanding of what machine learning is, how it can be used, and most importantly, how it can change the world. You’re also going to have an understanding of the logic behind the algorithms and what they aim to accomplish. Don’t waste your time working with a guide that’s only going to make an already complicated topic even more complicated. Scroll up and click the "Buy Now" button to learn everything you need to know in no time!
©2018 Steven Cooper (P)2018 Steven Cooper
Data Mining and Analytics
Summary
Are you curious about data mining and analytics? Have you ever wondered how the world is filled with so much data and what is it used for? Do you wonder how companies use data to improve their revenue and steer themselves toward the path of success? Would you like to know why data is a new currency and companies invest so much to extract, store, and process data? Do you want to know how businesses leverage data to make millions of dollars in revenue? All of this can be achieved through data mining and analytics. If you are curious to know the answers to all these questions, this is the right book for you. This book will break down the terms data and mining for you so you can understand the concepts individually and then as a whole. If you have been looking to launch yourself into the world of data mining and data analytics, this book will serve as the perfect launchpad. The book will introduce you to all the concepts of data mining and analytics in a very tailored manner. It doesn’t matter if you are a beginner in the field of data or a veteran; you will have something important to take away from this book. The tools and techniques described will teach you how data mining is used by organizations to steer themselves to success. This book will take you through: An overview of data mining and the need for data mining today Comparisons between data mining and data science The tasks and issues in data mining The terminologies used in data mining The data mining query language Classification, prediction, and cluster analysis in data mining This book has been tailored for you to understand data mining and analytics. There are step-by-step guides with code syntaxes so that you can understand various data mining techniques. If you’re looking for the ultimate guide in mining, analytics and metrics, then grab your copy today!
©2020 Alex Campbell (P)2020 Alex Campbell
Data Science for Beginners
Summary
Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place! There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis. This book has all the information you need to learn what data science is and what the prerequisites are to become a data scientist. If you’re a beginner or if you already have experience in data science, this book will have something for you. In this audiobook, you will: Learn what data science is about Discover the difference between data science and business intelligence Explore the tools required for data science Find out the technical and nontechnical skills every data scientist must have Figure out how to create a visualization of the data set with clear and easy examples Get advice on developing a predictive model using R Uncover detailed applications of data science And much more! The book has been structured with easy-to-understand sections to help you learn everything you need to know about data science. In this book, you will learn about the prerequisites of data science and the skills you need to become a data scientist. So, what are you waiting for? Get this comprehensive guide now!
©2021 Alex Campbell (P)2021 Alex Campbell
Computer Networking: The Complete Guide
Summary
Are you looking for a complete guide to better manage a computer network? Here is the book for you! Computer networks were created to connect individual computers to form a more powerful computing environment. In short, it aims to increase productivity. From the age of batch processing to the age of computer networks, there is no doubt that this is the case that computer networks are intended to. Now, however, there seems to be a subtle shift in technology. One of the primary purposes of modern computer networks is to connect people. People around the world can connect, communicate, and exchange ideas via the internet. This, however, was not possible in the early days of computer networks. This human-to-human computer network has gradually brought about great changes in people's daily life, school education, scientific research, and company development. The wide areas of applications of wireless networks in modern times are an indication of what the technology will offer in the future. At the moment, wireless networks have simplified a lot of human activities, such as communication, business transactions, and other activities. However, the future is brighter than most people can imagine. The modern wireless network will be child’s play compared to what the future promises. Let’s consider some of the major future development of wireless networks and the potential huge impact they will have on the users. In the wireless industry, there are top wireless carriers such as AT&T, Verizon, Sprint, and T-Mobile. These carriers have significantly contributed to the growth of this sector by churning out high-performance communication technologies and devices that have proved invaluable to the growth and general acceptance of wireless communication. There are different types of wireless communication, like satellite communication, IR wireless communication, microwave radio, and broadcast radio. This audiobook will cover the following chapters: Virtual Private Networks (VPNs) Virtualization & Cloud Computing Connection-Oriented and Connectionless-Oriented Managing and Troubleshooting the Network Networking Macs and PCs Unified Communications and Virtualization Future Protocols Switching The OSI and TCP/IP models The IP Addresses and Subnets Patch Panel or RJ45 Plugs Patch Panel Cabinet or Wall Mounted Scanning the Network Wardriving and the Wireless Pirates And more... Buy this audiobook now, and you will acquire high and important information about computer networking!
©2019 Erick Stack (P)2020 Erick Stack
SQL: 2 Books in 1
Summary
SQL: 2 Books in 1: Beginner and Intermediate Level SQL from The Ground Up Structured Query Language (SQL) is the gold standard for interacting with modern databases. Used by companies all over the world, SQL allows users to manipulate the contents, architecture, and existence of a Relational Database Management System (RDBMS) with just a few commands. Knowledge of this simple, yet powerful tool is becoming ubiquitous in workplaces big and small, corporate, and public. From young startups to multinational conglomerates - businesses of all types need to effectively manage and process their data. SQL: Beginner and Intermediate Level SQL From The Ground Up is a combination of the first and second entries in a series of books designed to make SQL accessible to the fledgling user. The series breaks up the material into bite-sized chunks to take listener from uninitiated novice to expert scripter, with layman explanations and query examples. This double audiobook will cover: An introduction to databases An introduction to the history and formation of SQL How to create your first database Data types The concept of queries SELECT statements FROM statements The AND operator The OR operator Defining conditions Types of conditions Using JOINS ...and much more, both in this audiobook and the next in the combined series. The internet has arrived. The information age is upon us. Data is one of the most important tools in the arsenal of any business. Upgrade your skill set, and make yourself more valuable in the wide open space of data management. Buy SQL: Beginner and Intermediate Level SQL From The Ground Up, and elevate your game! PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Keith Dvorjak (P)2019 Keith Dvorjak
Designing Data-Intensive Applications
Summary
Newly adapted for audiobook listeners. Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively. Make informed decisions by identifying the strengths and weaknesses of different tools. Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity. Understand the distributed systems research upon which modern databases are built. Peek behind the scenes of major online services, and learn from their architectures.
©2017 Martin Kleppmann (P)2021 Upfront Books
Machine Learning: 4 Books in 1
Summary
Master the world of Python and machine learning with this incredible four-in-one bundle. Are you interested in becoming a Python pro? Or do you want to learn more about the incredible world of machine learning and what it can do for you? Then pay attention. Created with the beginner in mind, this powerful bundle delves into the fundamentals behind Python and machine learning, from basic code and mathematical formulas to complex neural networks and ensemble modeling. Inside, you’ll discover everything you need to know to get started with Python and machine learning and begin your journey to success! In audiobook one, Machine Learning for Beginners, you’ll learn: What is artificial intelligence really, and why is it so powerful? Choosing the right kind of machine learning model for you An introduction to statistics Reinforcement learning and ensemble modeling “Random forests” and decision trees And much more! In audiobook two, Machine Learning Mathematics, you will: Learn the fundamental concepts of machine learning algorithms Understand the four fundamental types of machine learning algorithm Master the concept of “statistical learning" Learn everything you need to know about neural networks and data pipelines Master the concept of “general setting of learning” And much more! In audiobook three, Learning Python, you’ll discover: How to install, run, and understand Python on any operating system A comprehensive introduction to Python Python basics and writing code Writing loops, conditional statements, exceptions, and more Python expressions and the beauty of inheritances And more! And in audiobook four, Python Machine Learning, you will: Learn the fundamentals of machine learning Master the nuances of 12 of the most popular and widely used machine learning algorithms Become familiar with data-science technology Dive into the functioning of scikit-learn library and develop machine learning models
©2019 Samuel Hack (P)2020 Samuel Hack
Data Science
Summary
Did you know that the value of data usage has increased job opportunities but that there are few specialists? These days, everyone is aware of the role data can play, whether it is an election, business, or education. But how can you start working in a wide interdisciplinary field that is occupied with so much hype? This audiobook, Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't, presents you with a step-by-step approach to data science as well as secrets only known by the best data scientists. It combines analytical engineering, machine learning, big data, data mining, and statistics in an easy-to-digest method. Data gathered from scientific measurements, customers, IoT sensors, and so on is very important only when one can draw meaning from it. Data scientists are professionals who help disclose interesting and rewarding challenges of exploring, observing, analyzing, and interpreting data. To do that, they apply special techniques that help them discover the meaning of data. Becoming the best data scientist is more than just mastering analytic tools and techniques. The real deal lies in the way you apply your creative ability like expert data scientists. This audiobook will help you discover that and get you there. The goal with Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Statistics, Machine Learning, and Big Data - That You Don't is to help you expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. At the end of this audiobook, you will learn how to combine machine learning, data mining, analytics, and programming, and extract real knowledge from data. Get access to this audiobook now if you want to learn more about data science!
©2018 Herbert Jones (P)2018 Herbert Jones
Python for Data Science
Summary
This audiobook gives you the perfect foray into data analysis. We discuss data analysis in Python in a way that will benefit you irrespective of your expertise level in Python. At the beginner level, you will appreciate the simple but elaborate approach we use to introduce you to basic Python concepts necessary for data analysis. With this knowledge, you can establish your foundation in data analysis, and build on that over time as you become accustomed to more complex subjects. For intermediate and expert users, you can also benefit from this book by using it as a reminder of some of the key points that define data science. When you dwell in a field for a long time, it is easy to take some things for granted. This happens to many programmers and developers. This audiobook reminds you of the basic building principles that have helped you become one of the best data analysts in your field. Python libraries are some of the most important features in Python programming. The libraries help you perform tasks that would have otherwise been impossible to perform, or cumbersome. We discuss the major Python libraries you will use all the time, and highlight the main ones relevant to data analysis so you can get the distinction. Take note that data science is not an isolated subject. Most of the disciplines that involve Python programming depend on data, so you can expect to use the knowledge learned in this audiobook in other fields, too. For example, when you advance into machine learning, your ability to perform exceptional data analysis will be required to help you build and train relevant machine learning models. Therefore, this audiobook will not just get you ready for data analysis, it will prepare you for various fields in Python programming, including artificial intelligence, deep learning, and machine learning. Besides discussing the main Python libraries, we investigate the major data analysis libraries like Pandas and Matplotlib in-depth. These libraries will form the foundation of most of the data analysis work you perform over the years. Data analysis in Python will help you become an all-rounded developer. The good thing about learning Python is that you can use the knowledge gained to further your career in other programming languages like R. It is important to learn Python for data analysis from a conceptual and fundamental framework so that you set the right tone on which you can build your career further and advance into the future. Unlike other books, I don’t claim that this audiobook will make you a master of data science after a single listen. That’s not realistic, in fact, it's even a bit absurd. What I claim is that you will definitely learn about the basics. The rest is practice. The more you practice the better you code.
©2019 Mark Graph (P)2020 Mark Graph
MYSQL: SQL Database Programming for Beginners
Summary
If you're a developer, you just can't ignore databases. Databases are the storage of the information that your program will process. From a simple web-app to a world-class corporation, data is inside databases. You have to know how to read, process, and handle them. With this practical manual, you will learn how to work with SQL databases, with a focus on MySQL. You'll have access to practical examples and discover the basics to start working with these powerful tools. With this book, you will learn: What is a database and why it is essential for any web project? What are the types of databases and why you need to know MySQL? How to create your development environment on Windows, Mac, and Linux. How to create and manage databases. Functions to create and handle tables. How to manage relationships between tables. Sorting and aggregation functions. What is MySQL Workbench and how to use it.
©2019 Francesco Crema (P)2019 Kevin Lioy