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 Science for Business
Summary
Basic data science explained. Explore the field of data science, and the way to analyze big and small data. This technical audiobook goes over the main aspects of analyzing data correctly, by using various strategies you need to implement in order to get results that are precise and beneficial. Learn about: Modeling data and visualization. The three V's of big data and what to do with them Software recommendations and applications Machine algorithms and interesting side notes regarding them Rules, infrastructure, adaptation, and other techniques Perception and cognition basics that apply to data Efficient uses of regression, database querying, machine learning, and data warehousing Curious yet? Then don't wait and start listening, so you don't have to remain in the dark. Save yourself the time and learn from what worked for me. I will see you in the first chapter!
©2017 Charles Jensen (P)2017 Charles Jensen
SQL: 2 Books in 1: Advanced and Elite Level SQL from the Ground Up
Summary
SQL: 2 Books in 1: Advanced and Elite 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 start-ups to multinational conglomerates - businesses of all types need to effectively manage and process their data. SQL: 2 Books in 1: Advanced and Elite 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-size chunks to take readers from uninitiated novice to expert scripter, with layman explanations and query examples. This double book will cover: The UNION concept The INTERSECT concept The char function The position function The concept of queries The locate function Working with numeric data Inner joins Outer joins Conditions Transactions ...and much more! 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: 2 Books in 1: Advanced and Elite 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.
©2018 Keith Dvorjak (P)2019 Keith Dvorjak
Machine Learning for Beginners: The Beginner's Guide to Big Data Analytics, Data Science, Data Analysis with Machine Learning
Summary
Have you ever wondered how some complex technological advances, like speech recognition and search engines, really worked?
What if you were able to learn how to make some of these work for your own programming needs, even if you are brand new to the world of programming?
Machine Learning for Beginners is the guidebook that you need. Inside Machine Learning for Beginners, we are going to take a look at some of the different things that you need to know if you have ever been interested in learning how to work with machine learning and all of the cool things that we are able to do with this kind of programming language.
Some of the different topics of machine learning that we are going to spend time on will include:
What is data science and why is it important?
What are machine learning and the benefits of using this kind of programming?
The difference between machine learning and artificial intelligence.
The basics and building blocks that you need to know about machine learning.
The differences between supervised machine learning, unsupervised machine learning, and reinforcement machine learning.
The tips that you need to ensure that you are able to get the most out of machine learning.
There are a lot of different benefits that are able to get when you start working with machine learning for some of your programming needs. When you are ready to work with machine learning and use it in some of your own programs and computer needs, make sure to check out this guidebook to help you get started.
Once you complete Machine Learning for Beginners, you will be more than prepared.
Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Machine Learning for Beginners!
©2019 Leonard Deep (P)2019 Leonard Deep
Computer Networking Beginners Guide
Summary
Do you want to learn the basic concepts to build your computer network in a simple and effective way? Read on. We are more than happy to present our latest book Computer Networking Beginners Guide - a comprehensive guide for any newcomer interested in understanding the operation of computer networks and telecommunication technology, in general. A computer network is a type of telecommunications network characterized by a set of hardware devices with appropriate switching software and nodes connected to each other by special communication channels (links) to provide a communication service that allows the exchange and sharing of data and communication between multiple users or devices. The data is transferred as a PDU (packet data unit), consisting of a header (which contains the data for sending the message) and a body (which contains the body of the message), all governed by strict protocols. To create a computer network, it is necessary to know all the basic concepts so that the network is efficient and, above all, safe from possible external attacks. Whether you are responsible for a small network or a large network, this audiobook is full of information needed to create a network and keep it running. Becoming a network owner has never been easier. This is the basic guide to creating, managing, and protecting a successful network. It is the network guide for every beginner. When you finish listening to this audiobook, you will learn all the basic concepts for an efficient and secure network and so much more! What are you waiting for? Get comfortable and listen to your audiobook. Scroll up, click the "buy now" button, and get the audiobook!
©2020 Kevin Morgan (P)2020 Kevin Morgan
Analytics: How to Win with Intelligence
Summary
Learn how big data and other sources of information can be transformed into valuable knowledge - knowledge that can create incredible competitive advantage to propel a business toward market leadership. Learn through examples and experience exactly how to pick projects and build analytics teams that deliver results. Know the ethical and privacy issues, and apply the three-part litmus test of context, permission, and accuracy. Without a doubt, data and analytics are the new source of competitive advantage, but how do executives go from hype to action? That's the objective of this audiobook - to assist executives in making the right investments in the right place and at the right time in order to reap the full benefits of data analytics.
©2017 John Thompson and Shawn Rogers (P)2018 John Thompson
Power BI
Summary
As of 2019, Microsoft’s Power BI is the leading analytics and business intelligence platform available on mobile applications, clouds, on-premise data gateway, data modeling applications, report authorizing applications, and other utilities. This audiobook offers a comprehensive analysis of the powerful tools and features contained in Power BI’s arsenal. It includes the stepwise directions on how to start a Power BI project and how to share the project with a large number of users. As a listener, the audiobook will get you familiarized with the basic concepts of Power BI and how its datasets, dashboards, and reports can be used to give insights and interactive experiences. This audiobook will help you become conversant with management techniques and administration topics available on Power BI. With the knowledge acquired in the audiobook, you will be able to utilize Power BI’s powerful features and carry out successful Power BI projects for your organization. Some of the topics covered in the audiobook include: Introduction to Power BI Dashboard Sharing on Power BI Loading of Data from different data sources into Power BI Data transformation Data modeling. Combined together the tutorial topics listed above make a practical and potent beginners guide. The flow of the audiobook is designed for the listeners to follow and apply the instructions given as they are listening along. The approach is meant to encourage the listener not only to visualize but also actualize the step-by-step form of instructions given in the audiobook.
©2019 Daniel Jones (P)2020 Daniel Jones
Power BI: 3 in 1
Summary
As of 2019, Microsoft’s Power BI is the leading analytics and business intelligence platform available on mobile applications, clouds, on-premise data gateway, data-modeling applications, report-authorizing applications, and other utilities. This audiobook offers a comprehensive analysis of the powerful tools and features contained in Power BI’s arsenal. It includes the stepwise directions on how to start a Power BI project and how to share the project with a large number of users. As a listener, the audiobook will get you familiarized with the basic concepts of Power BI and how its datasets, dashboards, and reports can be used to give insights and interactive experiences. This audiobook will help you become conversant with management techniques and administration topics available on Power BI. With the knowledge acquired in the audiobook, you will be able to utilize Power BI’s powerful features and carry out successful Power BI projects for your organization. Some of the topics covered in the audiobook include: Introduction to Power BI Dashboard sharing on Power BI Loading of data from different data sources into Power BI Data transformation Data modeling Combined together the tutorial topics listed above make a practical and potent beginner's guide. The flow of the audiobook is designed for the listeners to follow and apply the instructions given as they are listening along. The approach is meant to encourage the listener not only to visualize, but also actualize the step-by-step form of instructions given in the audiobook. Thanks to Power BI, Excel can also analyze and prepare large amounts of data. With this audiobook, you get everything you need for everyday work: comprehensive and understandable explanations based on clear, practical scenarios. I will show you how to handle raw data from different data sources and how to clean, link, analyze, and visualize them. You will find out how you can efficiently combine functions with Power Query, Power Pivot, Power BI Desktop, and how to use business intelligence profitably for your company! It is aimed at any professional who needs to report and perform data analysis efficiently. You do not need to have an analyst position in your work portfolio. Even if you already have experience with Power BI, you are sure to get important resources out of this audiobook. As I mentioned above, in this audiobook, you will learn the data analysis process using Power BI functions and tools, from how to install and how to schedule automatic updating of your reports to perform analytics. As with every new skill, learning Power BI requires some effort. I have structured the audiobook in such a way that you can master and apply everything in the audiobook in a systemic way. Once complete, you’ll be able to use this knowledge in your company and reap the results of high-quality reports, thus ensuring recognition and safety in your field. You will learn how to manage the data sources in Power BI, Q&A for Natural Language Query, Power BI Architecture, Publishing and Scheduling Reports, etc. The audiobook has individual chapters for Power BI Desktop functionalities, Power BI real-time dashboard, Report Generation and Mail, Dynamic low-level security, Toggle buttons, Tooltip features, and more. This audiobook will help you learn the navigation pane, dashboard tiles, designer files, sorting data, scheduling automatic refreshes, and report generation using visualization. You will get to learn exciting details on how to integrate Power BI with SharePoint and Dynamics 365 with a detailed description. After learning the above, you will be able to create a Power BI report and publish them on SharePoint easily.
©2020 Daniel Jones (P)2020 Daniel Jones
Power BI
Summary
Power BI: Essential Beginner's Guide to Power BI provides an overview of the key features and requirements required for the user to be able to develop dashboards that provide a 360-degree view of the business. This book is intended not only for those who want to analyze data routinely but also for those who wish to generate and perform the most diverse activities. The benefits of knowing how to analyze and make fact-based decisions are arguably beneficial not only at the executive and managerial levels but also at different levels. With this book, you will be able to learn and improve your Power BI dashboard presentations. You will learn what Power BI is, from its inception at launch, understanding its positioning in the workforce to how to install it, and how to start using it. You will learn important Power BI concepts for starting your studies and familiarizing yourself with terms that will be necessary for a firm understanding of this powerful tool. You will also understand the concepts of dashboards, data warehouse, and their practical applications. You will learn to assemble your dashboard effectively, and best practices for dashboard design and the right way to build your indicators. Then you will learn about the mechanism of the area of construction of the panels and tips for using visuals. In 3 different chapters of this book, you will learn about creating projects on Power BI. You will understand the Power BI desktop & cloud service process from the moment you create your account, publish the dashboard, and understand what happens to the dashboard when it is published. Overall in this book, you will understand the entire Business Intelligence process and how it is applied to Power BI, from information on what are the benefits of implementing this process in your day, today, and what precautions we need to take to begin analyzing data. It will open the door of your first contact with Microsoft Power BI. An overview of the basic functionality for you to understand the engine, tips on how to connect data sources, and much more!
©2019 Liam Damien (P)2020 Liam Damien
Data Analytics: 5 Books in 1
Summary
It doesn’t matter if your business has three employees or 300, you are likely generating far more information that you may realize and certainly far more than you are likely tracking effectively. Understanding what this data truly means starts with managing it successfully, which is where the process of data analytics comes into play. If you like the sound of putting your data to good use but aren’t quite sure what the ins and outs of data analytics entail, then Data Analytics: Bible of 5 Manuscripts - Beginner's Guide + Tips and Tricks + Effective Strategies + Best Practices to Learn Data Analytics Efficiently + Advanced Strategies will be your perfect learning guide. On average, there are roughly two quintillion bytes worth of new data created each and every day, which means that knowing what to do with it is easily a full-time job. Luckily, there are a wide variety of options out there when it comes to focusing in on the data that you want to use and using it in the most effective way possible. Inside, you will find all the tools you are going to need in order to do just that, regardless of if you are part of multinational conglomerate or are running your own start-up. Having the right data means being able to make the right decisions about your future because you know what your customers want, often before they do. Making the right decision in the moment means understanding the potential that this bundle of five audiobooks is offering and making the choice to go ahead and click "Buy Now"! Your future, more successful business will thank you. So, what are you waiting for? Grab this powerful pack of audiobooks that teaches you everything about data analytics.
©2018 Daniel Jones (P)2018 K.M. Kassi
A Simple Introduction to Data Science
Summary
Lars Nielsen and Noreen Burlingame provide a brief, understandable, user-friendly guide to all aspects of Data Science. The authors address the various skills required, the key steps in the Data Science process, software technology related to the effective practice of Data Science, and the best rising academic programs for training in the field. Contents: Data Science Summarized * What is Big Data * Hadoop * Data Management * Data Cleaning * Data Modeling for Unstructured Data * Predictive Analysis * Creativity and Intuition (or Posing the Right Question, at the Right Time, for the Right Data) * Data Visualization (or Telling the Story) * Cassandra * Academic Programs
©2012 New Street Communications, LLC (P)2014 New Street Communications, LLC
Machine Learning 2020
Summary
Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give. The essential aim is to permit the computers to adapt naturally, without human intercession or help and modify activities appropriately. Another definition is that machine learning is the study of getting computers to learn and act like humans do and improve their learning after some time in independent style, by sustaining them with data and information. Machine learning is a principal subdivision of artificial intelligence. It is the study of getting computers to learn and act like humans do and improve their learning after some time in independent style, by sustaining them with data and information. At that point, when presented with new data, these computer programs are empowered to learn, change, create, and develop without anyone else's input.
©2019 Mattia Pasquale (P)2020 Mattia Pasquale
Phishing Dark Waters
Summary
An essential anti-phishing desk reference for anyone with an email address, Phishing Dark Waters addresses the growing and continuing scourge of phishing emails, and provides actionable defensive techniques and tools to help you steer clear of malicious emails. Phishing is analyzed from the viewpoint of human decision-making and the impact of deliberate influence and manipulation on the recipient. With expert guidance, this book provides insight into the financial, corporate espionage, nation state, and identity theft goals of the attackers, and teaches you how to spot a spoofed email or cloned website. Included are detailed examples of high profile breaches at Target, RSA, Coca Cola, and the AP, as well as an examination of sample scams including the Nigerian 419, financial themes, and post high-profile event attacks. Learn how to protect yourself and your organization using anti-phishing tools, and how to create your own phish to use as part of a security awareness program. Phishing is a social engineering technique through email that deceives users into taking an action that is not in their best interest, but usually with the goal of disclosing information or installing malware on the victim's computer. Phishing Dark Waters explains the phishing process and techniques, and the defenses available to keep scammers at bay. Learn what a phish is, and the deceptive ways they've been used Understand decision-making, and the sneaky ways phishers reel you in Recognize different types of phish, and know what to do when you catch one Use phishing as part of your security awareness program for heightened protection Attempts to deal with the growing number of phishing incidents include legislation, user training, public awareness, and technical security, but phishing still exploits the natural way humans respond to certain situations. Phishing Dark Waters is an indispensable guide to recognizing and blocking the phish, keeping you, your organization, and your finances safe.
©2015 John Wiley & Sons, Inc., Indianapolis, Indiana (P)2016 Audible, Inc.
Data Science 2020: Learn How to Optimize Your Business Using Data Analytics and Machine Learning
Summary
Mastering data science doesn’t have to be complicated. Data Science 2020 can help you go from novice to expert in no time at all. To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field. In this audiobook, you will not only learn what data science is but you will learn all the variables included with it and will discover: How you can use that information to analyze data analytics for companies big and small How to strengthen your business marketing for maximum results Why python is a crucial element to master How to shore up data security And so much more! If you’ve ever wanted to get a leg up in this competitive field, make yourself more marketable or vital to businesses, and or have a vested interest in learning all there is to know about data science, this comprehensive guide will walk you through the process from beginning to end and will provide all the guidance you need to jump into this industry, hone your existing skills, or fill any gaps in your current knowledge. To get started, pick up your copy of this guide today!
©2019 Bill Hanson (P)2020 Bill Hanson
Amazon Web Services (AWS)
Summary
Have you heard about Amazon Web Services - AWS? If you have, that's nice, but if you haven't, I'll tell you. Amazon Web Services is known to be a subsidiary under Amazon which has so far provided individuals, companies or even governments with platforms for on-demand cloud computing on a metered pay as you go basis. In total, these services about cloud computing provide some sort of primitive technical infrastructure that are technical and also distributed computing building blocks as well as tools. Now, if you have really chosen to learn about Amazon Web Services, you're definitely going to be needing this particular book. I have taken time to explicitly open the grey areas of AWS in this book, ranging from cloud computing, understanding the business philosophy behind Amazon, the Amazon Web Services Management Console, Services of the platform, application integration, among others. These are the benefits you stand to gain by listening to this book. This book has everything you need to know about Amazon Web Services for you to advance from beginners to advanced level for AWS. Basically, you need not look anywhere else as this book has systematically done justice to Amazon Web Services. Enjoy.
©2020 Walter Roberts (P)2020 Walter Roberts
Data Analytics
Summary
This book has been created to help you understand the tips and tricks to learn data analytics easily and simply. It covers all the basic tips and tricks for beginners to understand how data analytics works. You will learn the process of data analytics and how it is different from data reporting. In this book, we have given in-depth details about types of data analytics, its characteristics, and its applications. You will also learn how to become a data analyst and about the skills required for the job. We have also focused on Python for data analytics and the advantages. Important Python libraries like Pandas, NumPy, Matplotlib, and IPython have been discussed in detail. You learn about the software development tools used in IPython for Data Analytics, NumPy features, and Data Processing using Arrays. Topics like Pandas data structures, indexing, filtering, data alignment, dataframe, series, sorting, and ranking will help you understand data analytics easily. A special focus has been given on NoSQL for Data Analytics, as it plays a very important role. Various types of NoSQL databases and their features have been included in this book along with how to perform text data analytics. Since the world is moving toward Big Data, we have also covered it for you. You will find more about descriptive analytics and predictive analytics, along with the seven steps for data analytics. This book covers the statistical models and parameters like AR, Kalman regression, selection bias, and more. You will also learn the latest tools used in big data analytics. Important data visualization techniques are included in the book, with a special focus on various types of charts for visualization. So, what are you waiting for? Click on the buy button now to learn tips, tricks, and have your very own step-by-step guide on data analytics.
©2020 Benjamin Smith (P)2021 Benjamin Smith
Information System and Knowledge Management: Oriental Approach: Nonaka and SECI Model
Summary
Knowledge management (KM) is the process of creating, sharing, using and managing the knowledge and information of an organisation. It refers to a multidisciplinary approach to achieving organisational objectives by making the best use of knowledge. Knowledge management efforts typically focus on organisational objectives such as improved performance, competitive advantage, innovation, the sharing of lessons learned, integration and continuous improvement of the organisation. These efforts overlap with organisational learning and may be distinguished from that by a greater focus on the management of knowledge as a strategic asset and on encouraging the sharing of knowledge. KM is an enabler of organisational learning. Information systems (IS) are formal, sociotechnical, organizational systems designed to collect, process, store, and distribute information. In a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology (that fits with the other three elements). Any specific information system aims to support operations, management and decision-making. An information system is the information and communication technology (ICT) that an organization uses, and also the way in which people interact with this technology in support of business processes.
©2020 Business Pills (P)2020 Business Pills
Machine Learning with Python
Summary
It is not necessary to work on the projects associated with your job profile; you can work overtime by working on some projects which are not related to your job profile but go perfectly with your skill sets. It would give a good impression to your boss, which would further lead to promotions. It might lead to a change in your role in the organization. This would lead you to the road map of your career in this field. Python is a high-level scripting language. It is easy to learn and robust than other words because of its dynamic nature and simple syntax which allows small lines of code. Included indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. Also, it can be operated on Linux, Windows, Mac OS, and UNIX. What you will gain in this book: What is meant by machine learning? A short history of machine learning. Machine learning - automation within a knowledge. The challenges of machine learning. Advantages and disadvantages of machine learning language. Machine learning in robotics. Machine learning applications. Machine learning algorithms. How machine learning is changing the world - and your everyday life. Machine learning is a new trending field these days and is an application of artificial intelligence. The main aim of machine learning is to create intelligent machines that can think and work like human beings.
©2019 David Park (P)2020 David Park
Data Science for Beginners
Summary
Become a master data analyst with this comprehensive guide on data science! Are you struggling with organizing your company’s data? Perhaps, you’re looking for the best way to organize it, but don’t know where to start? Do the words “data science” and “data analysis” sound complicated and intimidating? If your answer is yes to any of those questions, this comprehensive guide on data science is exactly what you need. You’ll enter the world of data analysis as a beginner, but Matt Foster will make sure you exit as a master. In this book, you’ll find methods and techniques to organize your data, extract the information, and analyze it. There’s a way to make sure your company is going in the right direction, and this audiobook will reveal the secret behind a successful business. Here’s what you get: A detailed introduction on data science, its applications, and fields of study An easy to understand guide on data analysis A list of the Python Data types Instructions on how to use the Python language and code A step-by-step guide on object-oriented programming (OOP) and mind mapping A detailed list of statistical techniques used in data analysis Instructions on how to start using data science in your company or business A guide on programming languages used in data science Presentation of classification and prediction methods of data mining A guide on data preparation and why it’s important An introduction to NumPy mechanism and how to use it And so much more! Every company or business, no matter how large or small, generates a crazy amount of data. If that data is not processed properly, your production and profit can suffer. Avoid it by implementing data science methods in your company operations. Don’t be intimidated by big, scientific words. This guide presents its content clearly and understandably. You’ll be an expert data scientist in no time! If you want to enhance your company’s dealings and ensure its data is organized and analyzed so there are no losses whatsoever, then scroll up and click on the "buy now" button to get the audiobook today.
©2019 Matt Foster (P)2020 Matt Foster
The Fundamentals of Data Science
Summary
Data science is no easy term to define. While there are many definitions available that point out its statistical or logical aspects, others focus on its machine learning impacts. The truth is, data science is a process that requires an understanding of multiple fields, methods, techniques, and more. Data science cannot be easily labeled because, when applied, it looks different to each person, business, or organization utilizing it. While the term may not be easy to define, what it is used for, can be used for, and approaches to it can be more easily understood. And that is precisely what this audiobook aims to do. Here is a preview of what you'll discover in this step-by-step audiobook. This audiobook will not only thoroughly go over all the skills, people, and steps involved in data science, it will also look closely at: What big data is and how data science came from it. How data has evolved, resulting in new methods for understanding it. How data science influenced artificial intelligence. How data science is used in machine learning and deep learning. How data science revolutionizes the way we train machines and set up neural networks. Data science, big data, machine learning, and deep learning tend to intimidate people. Many believe it is too complicated or technology-centered for them to break into these fields. This audiobook is designed to simplify these complex aareas in a way that anyone can understand the fundamentals. Whether you are just hearing about data science, are a student studying it in college, or looking to expand your career, this audiobook has something to offer every type of data enthusiast. Take action right away by downloading this book The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know About Data Science and Why It Matters to learn more.
©2019 Tribe Metrics, LLC (P)2020 Tribe Metrics, LLC
Lifting the Floor
Summary
We can't live without the internet, but we know very little about the secret industry that keeps the wheels of modern life turning; the data centre industry. This is where the internet lives. This is the industry that has the power to make or break our connections. Cloaked in mystery, with secrets, scandals, and bloodthirsty boardroom battles raging behind the scenes, this is where the magic happens. Michael Tobin OBE has been at the forefront of the data centre industry since its birth. He's seen it all, from the good to the bad, to the completely unbelievable. He's ridden the highs, leading Telecity Group from near bankruptcy to a multi-billion-dollar company, and survived the lows, like being ousted out of the very company he'd built up. This is his never-before-published account of the explosion of the data centre industry. Here, he and key industry insiders lift the lid on an industry that's been hiding its shocking stories beneath the floor tiles of data centres the world over. This audiobook exposes how an industry that's only 25 years old became the most important in the world and introduces you to the egos, opportunists, and forward-thinkers who made that happen.
©2020 Tobin Ventures Ltd (P)2020 Tobin Ventures Ltd