Big Data
- 10 Courses | 3h 45m 50s
- 19 Books | 58h 31m
- 9 Audiobooks | 53h 37m 37s
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.
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.
6 videos |
23m
Assessment
Badge
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.
7 videos |
19m
Assessment
Badge
PMI PDU
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.
8 videos |
21m
Assessment
Badge
PMI PDU
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.
7 videos |
23m
Assessment
Badge
PMI PDU
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
Assessment
Badge
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.
7 videos |
23m
Assessment
Badge
PMI PDU
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.
7 videos |
22m
Assessment
Badge
PMI PDU
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.
6 videos |
19m
Assessment
Badge
PMI PDU
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.
6 videos |
23m
Assessment
Badge
PMI PDU
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.
6 videos |
23m
Assessment
Badge
PMI PDU
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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 DataIn 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.
21m
By MIT Sloan Management Review
Book
MIT Sloan Management Review Article on The Big Data Problem That Market Research Must FixThis 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.
6m
By Elie Ohana, Ken Faro
Book
MIT Sloan Management Review Article on The Problem With Big DataThis 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.
2m
By Maryam Farboodi
Book
MIT Sloan Management Review Article on Why Smart Companies Are Giving Customers More DataThis 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.
6m
By Barbara H. Wixom, Killian Farrell, Ronny M. Schüritz
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.
6m
By Diego Kuonen, Roger W. Hoerl, Thomas C. Redman
Book
MIT Sloan Management Review Article on Getting Serious About Data and Data ScienceThis 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.
5m
By Thomas C. Redman, Thomas H. Davenport
BOOK SUMMARY
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business DecisionsIn 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.
12m
By Matt Taddy
Book
Designing Big Data Platforms: How to Use, Deploy, and Maintain Big Data SystemsThis book helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more.
5h 40m
By Yusuf Aytas
Book
Data Smart: Using Data Science to Transform Information into InsightData 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.
5h 45m
By John W. Foreman
Book
The Data Science HandbookGiving 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.
6h 43m
By Field Cady
Book
A Journey into Data Science: Earning the White CoatAuthored 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.
26m
By Anthony Dutra
Book
Data Science: Create Teams That Ask the Right Questions and Deliver Real ValueWalking 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.
4h 35m
By Doug Rose
Book
Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and PractitionersProviding 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.
3h 54m
By Jared Dean
Book
Streaming, Sharing, Stealing: Big Data and the Future of EntertainmentHow 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.
3h 50m
By Michael D. Smith, Rahul Telang
Book
Big Data ManagementFocusing 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.
4h 47m
By Benjamin Lev, Fausto Pedro García Márquez
Book
Big Data, Open Data and Data Development: Volume 3Explaining 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.
2h 16m
By Jean-Louis Monino, Soraya Sedkaoui
Book
Growth Dynamics in New Markets: Improving Decision Making Through Model-Based ManagementAn 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.
6h 27m
By Martin F.G. Schaffernicht, Stefan N. Groesser
Book
Technology and the Blue Economy: From Autonomous Shipping to Big DataExploring how innovators can develop the right business models to capitalize on growth opportunities, this book analyses the critical success factors for emerging technologies.
5h 9m
By Andy Hamflett, Jonathan Turner, Nick Lambert
Book
Privacy, Big Data, and the Public Good: Frameworks of EngagementPainting 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.
8h 1m
By Helen Nissenbaum, Julia Lane, Stefan Bender, Victoria Stodden
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AUDIOBOOKS INCLUDED
AUDIOBOOK SUMMARY
Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary ResultsIn Big Data in Practice, author Bernard Marr explores unique approaches to data analytics from 45 different companies. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
20m 37s
By Bernard Marr
AUDIOBOOK SUMMARY
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business DecisionsIn 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.
24m 36s
By Matt Taddy
AUDIOBOOK SUMMARY
Big Data Analytics: A Practical Guide for ManagersBig 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.
16m 14s
By Kim H. Pries, Robert Dunnigan
Audiobook
Think Bigger: Developing a Successful Big Data Strategy for Your BusinessThis 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.
9h 8m 41s
By Mark Van Rijmenam
Audiobook
Life After Google: The Fall of Big Data and the Rise of the Blockchain EconomyThis audio edition takes listeners on a brilliant, rocketing journey into the very near-future.
9h 38m 39s
By George Gilder
Audiobook
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our WorldThis 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.
13h 3m 34s
By Pedro Domingos
Audiobook
Big Data Analytics: Turning Big Data into Big MoneyThis audio edition tells how you can leverage big data into a key component in your business's growth strategy.
5h 16m 59s
By Frank J. Ohlhorst
Audiobook
Big Data: Principles and Best Practices of Scalable Realtime Data SystemsThis audio edition teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data.
9h 15m 20s
By James Warren, Nathan Marz
Audiobook
The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business ExponentiallyThis book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses-including yours-by strategically using your data's latent, transformative potential.
6h 12m 57s
By Asha Saxena
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SKILL BENCHMARKS INCLUDED
Big Data
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. This benchmark evaluates your understanding of this topic. Being aware of potential knowledge gaps allows you to better understand your current competency and areas for improvement, so you can find suitable content and curate your own learning path. The courses recommended at the end of this benchmark can help you fill potential gaps in your knowledge.
7m
| 7 questions
Data Fluency - Data Skills
The Data Fluency - Data Skills benchmark measures whether a learner has been exposed to common data skills and understands their importance. This Benchmark is for any learner looking to upskill in data fluency around understanding the important of data, the value of data literacy, what it means to be data-driven and how to think with a data-first mindset. A learner who scores high on this benchmark demonstrates an entry level of understanding in understanding why data is important.
19m 59s
| 20 questions
Data for Non-tech Learners
The Data for Non-tech Learners benchmark measures your ability to recognize key terms and concepts related to data science. You will be evaluated on your knowledge of the benefits of leveraging data science, data science elements, thinking critically about data, the data life cycle, and the value of analytics. Learners who score high on this benchmark demonstrate that they have the skills related to data science terminology and concepts.
10m
| 10 questions