雷火电竞直播软件下载

  • 10 Courses | 3h 46m 6s
  • 28 Books | 74h 7m
  • 6 Audiobooks | 32h 54m 22s
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Big data represents high volume, high-velocity information assets, which enable better analytics, insight, decision making, and process automation. Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Learn how big data can be analyzed for insights that lead to better decisions and strategic business moves.

GETTING STARTED

Evaluating Systems with Data Modeling

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    1. 
    Evaluating Systems with Data Modeling
    52s
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    2. 
    What Is Data Modeling?
    2m 39s
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COURSES INCLUDED

Evaluating Systems with Data Modeling
Organizations rely on various kinds of data, including big data, to fully understand their customers and business operations. Modeling data systems can help businesses better organize and access data. To do so, they need that data to be easy to access and understand. Data modeling plays a critical role in both. In this course, you´ll learn about data modeling, the benefits it can bring to an organization, and the various levels at which data modeling can be applied. You'll explore the different types of data models and learn about the data modeling process.
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Big Data Fundamentals
You've probably heard of big data technologies, but what exactly are they, and how can using big data give your organization a competitive advantage? In this course, you'll learn about dealing with big data, the benefits that big data strategies provide, and the types of data and data sets big data incorporates. You'll also be introduced to the different ways it can be applied, depending on your market sector. Finally, this course covers some fundamental security challenges of big data and some best practices for managing big data through an effective information lifecycle.
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Big Data Interpretation
Using big data can lead to significant gains for your organization. Managing big data effectively can lead to lower operating costs, better decision making, and innovative new product development. Dealing with big data means utilizing big data technologies to identify, gather, and analyze data sets and develop big data strategies that reap benefits for your organization. In this course, you'll learn about the data analysis process. You'll be introduced to the most common basic and advanced analytics methods, including data mining. You'll also learn about some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.
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Embedding Data-driven Decisions into Organizational Culture
Organizations around the world are now realizing the many advantages of using data to overhaul their business strategies and gain a competitive edge. However, data-driven decision making doesn't mean you have to ignore your intuition or past experience. In fact, when used in combination with business acumen, building a data-driven decision-making culture can be a powerful tool for change. In this course, you'll learn about the benefits that occur when an organization makes decisions using data as the basis of their choice. You'll explore best practices for taking a balanced approach to decisions that don't rely on a single perspective. And you'll also learn how to avoid common mistakes associated with using data to inform decisions.
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Harnessing the Power of Data Science for Business Growth
Data science involves using scientific analysis, tools, and mathematics to extract useful insight from raw data, and then applying that knowledge for effective business strategy. Increasingly, companies are turning to data science. They can use scientific analysis, tools, and mathematics to extract useful insight from Big Data, to guide their decisions and drive business improvements. In this course, you'll learn about the characteristics and key elements of data science, and its potential benefits for organizations. You'll also learn what skill sets are required on a data management team, best practices for extracting useful, actionable insights from data, and common challenges organizations face in using data science.
7 videos | 25m 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 Assessment 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 Badge 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 PMI PDU
Organizing Business Data with Data Modeling
Modeling data can help businesses better organize and access data. Organizations rely on various kinds of data, including Big Data, to fully understand their business. To do so, they need that data to be easy to access and understand. Data modeling plays a critical role in both of these. In this course, you'll learn about the characteristics of data modeling, and the common styles and types of data models used. You'll find out how the three levels of data modeling can provide a detailed blueprint of a company's data. And you'll also learn about common strategies for building data models, and how doing so improves an organization's daily operations.
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Turning Social Intelligence into Actionable Insight
Using social intelligence (SI) is not just about recording the number of likes, retweets, or followers you have on your various social media outlets. True social intelligence involves using the vast amount of raw, real-time data you have at your disposal and converting it into practicable insights to improve customer relationships. In this course, you'll learn about the benefits of social intelligence to your organization's performance. You'll explore how to monitor social media, as well as common sources of social media data. Finally, you'll discover best practices for analyzing that data, common mistakes to avoid, and ways to use social-awareness strategies that deliver real business value.
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Improving Marketing with Big Data
Professional marketers today have unprecedented access to customer data and complex data sets. By using Big Data technologies and analytical tools, they can gather insights about their target markets through things like website traffic, e-mail marketing, and social media activity. And they can glean incredibly useful information from dealing with Big Data to help drive effective operational marketing strategy. In this course, you'll learn about the characteristics of Big Data, the benefits of managing Big Data for marketing purposes, the key challenges associated with using Big Data, and the best practices for data storage and handling methods. The course also covers considerations when implementing Big Data strategies.
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Finding the Quality in Your Data
Successful data management in the age of big data is a challenge. Applying data quality best practices while making adjustments and optimizations can help your organization meet its business goals. In this course, you'll learn about using data science in data quality management. You'll learn how to determine the quality of data, challenges and solutions for gathering quality data, and how to assess the value of data.
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Being a Responsible Corporate Digital Citizen
Security risks are high online and businesses need flexibility to adapt to change if they are going to navigate online interactions safely. Staying current on digital innovation and security guidelines ensures your company's resilience against threats to secure data management. This course will explore some responsibilities when interacting in an online world so you can become a good corporate digital citizen and reduce your data security risk.
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EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

BOOKS INCLUDED

Book

MIT Sloan Management Review on Big Data
In this collection of articles from MIT Sloan Management Review, you'll learn how to use Big Data and analytics to make better business decisions, and what actions you should encourage to thrive in an increasingly digital world.
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Book

MIT Sloan Management Review on Data Science for Business Growth
In this collection of articles from MIT Sloan Management Review, you'll learn what role data science plays in the success of a business, if your company is getting the most out of its data, and how artificial intelligence and augmented reality factor into the future of data science.
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Book

MIT Sloan Management Review Article on Using Data Science to Avoid Global Pricing Chaos
This article from MIT Sloan Management Review talks about what every industry can learn from luxury fashion.
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Book

MIT Sloan Management Review Article on The Big Data Problem That Market Research Must Fix
This article from MIT Sloan Management Review talks about how big data can support smart market research, but only if researchers embrace the basics of understanding what it is they want to measure.
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Book

MIT Sloan Management Review Article on Demystifying Data Monetization
This article from MIT Sloan Management Review discusses how data can be used in day-to-day operations to reduce costs and grow revenue.
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Book

MIT Sloan Management Review Article on The Problem With Big Data
This article from MIT Sloan Management Review talks about why larger companies continue to gain disproportionate shares of the processing power and financial value big data offers.
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Book

MIT Sloan Management Review Article on Don't Let Marketing Personalization Kill Your Brand
This article from MIT Sloan Management Review discusses how companies should be wary of going overboard when implementing a data-driven marketing strategy.
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Book

MIT Sloan Management Review Article on From Winning Games to Winning Customers: How Data Is Changing the Business Side of Sports
This article from MIT Sloan Management Review talks about how teams and leagues are using analytics to boost revenue, and how they're managing transitions in culture and strategy.
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Book

MIT Sloan Management Review Article on Why Smart Companies Are Giving Customers More Data
This article from MIT Sloan Management Review talks about how companies are discovering the benefits of data wrapping - packaging their products with data analytics features and experiences that delight customers and increase profitability.
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Book

MIT Sloan Management Review Article on To Succeed With Data Science, First Build the ‘Bridge'
This article from MIT Sloan Management Review shows that a new organizational structure is needed in order to better align data teams with business operations.
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Book

MIT Sloan Management Review Article on Getting Serious About Data and Data Science
This article from MIT Sloan Management Review talks about how companies need to shift goals, muster resources, and align people in order to implement successful data programs.
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Book

Developing High Quality Data Models
Using real-world examples, this authoritative guide walks the reader through identifying a number of data modeling principles and analysis techniques that enable the development of data models that both meet business requirements and have a consistent basis.
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Book

Data Modeling Made Simple: A Practical Guide for Business and IT Professionals, Second Edition
Written in conversational style that encourages you to read from start to finish, this book will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices.
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Book

Data Smart: Using Data Science to Transform Information into Insight
Data science is little more than using straight-forward steps to process raw data into actionable insight, and in this new book, author and data scientist John Foreman will show you how that's done within the familiar environment of a spreadsheet.
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Book

The Data Science Handbook
Giving extensive coverage to computer science and software engineering since they play such a central role in the daily work of a data scientist, this comprehensive book provides a crash course in data science, combining all the necessary skills into a unified discipline.
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Book

A Journey into Data Science: Earning the White Coat
Authored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article will provide a baseline understanding of Data Science and the concepts associated with it.
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Book

Data Science: Create Teams That Ask the Right Questions and Deliver Real Value
Walking you through the process of creating and managing effective data science teams, this essential resource will teach you how to find the right people inside your organization and equip them with the right mindset.
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Book

Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners
Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency.
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Book

Streaming, Sharing, Stealing: Big Data and the Future of Entertainment
How can companies discover who their customers are, what they want, and how much they are willing to pay for it? Data. This book discusses how big data is transforming the creative industries, and how those industries can use lessons from Netflix, Amazon, and Apple to fight back.
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Book

Information And Society
Discussing our ever-increasing dependence on a complex multiplicity of messages, records, documents, and data, this book describes the rising flood of this information, outlines the dramatic long-term growth of documents, and traces the rise of techniques to cope with them.
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Book

Big Data Management
Focusing on the analytic principles of business practice and big data, this book provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management.
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Book

Big Data, Open Data and Data Development: Volume 3
Explaining how the main challenges for Big Data revolve around data integration and development within companies, this book explores data development processes within a context of strong competition.
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Book

Growth Dynamics in New Markets: Improving Decision Making Through Model-Based Management
An innovative simulation-based approach for strategic decision making when launching new products, this groundbreaking book contains a dynamic case study and simulations that reveal what it takes to successfully introduce a product into a new market.
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Book

Monetising Data: How to Uplift Your Business
Written for everyone engaged in improving the performance of a company, including managers and students, this practical book is an essential guide for understanding and using data to enrich business practice.
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Book

Real-Time Strategy and Business Intelligence: Digitizing Practices and Systems
Providing practical and future-oriented insights backed by examples and best practices, this book explores how to improve utilization of business intelligence systems in real-time decision-making.
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Book

Technology and the Blue Economy: From Autonomous Shipping to Big Data
Exploring how innovators can develop the right business models to capitalize on growth opportunities, this book analyses the critical success factors for emerging technologies.
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Book

Privacy, Big Data, and the Public Good: Frameworks of Engagement
Painting an intellectual landscape that includes legal, economic, and statistical frameworks, this book identifies new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.
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Book Summary

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
In Business Data Science, author Matt Taddy reveals how to apply the building blocks of machine learning to big data analysis and create robust predictions from complex data in a way that works for you. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
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AUDIOBOOKS INCLUDED

Audiobook Summary

Big Data MBA: Driving Business Strategies with Data Science
In Big Data MBA, author Bill Schmarzo reveals how to orient yourself to the Big Data future and start thinking like a data scientist. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
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Audiobook Summary

Big Data Analytics: A Practical Guide for Managers
Big Data Analytics guides the reader through the basics of how big data is amalgamated, analyzed, and used. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
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Audiobook

Think Bigger: Developing a Successful Big Data Strategy for Your Business
This audio edition provides a roadmap for organizations looking to develop a profitable big data strategy ...and reveals why it's not something they can leave to the IT department.
雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 9h 8m 41s 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 By Mark Van Rijmenam

Audiobook

Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy
This audio edition takes listeners on a brilliant, rocketing journey into the very near-future.
雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 9h 38m 39s 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 By George Gilder

Audiobook

The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
This audio edition gives us a peek inside the learning machines that power Google, Amazon, and your smartphone, assembles a blueprint for the future universal learner and discusses what it will mean for business, science, and society.
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Audiobook Summary

Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
In Business Data Science, author Matt Taddy reveals how to apply the building blocks of machine learning to big data analysis and create robust predictions from complex data in a way that works for you. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 24m 36s 雷火电竞-雷火电竞手机APP下载下注-雷火电竞直播软件下载 By Matt Taddy
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