Extracting Value from Dark Data: ULEADD from Coursera

What's inside

Syllabus

Course Introduction

Welcome to Extracting Value from Dark Data: ULEADD. We are excited you are here and hope you finish this course with working knowledge of the ULEADD approach to extracting value from data. Though this course focuses on using ULEADD with dark data, you will likely find that this approach is helpful in many project and data scenarios.

Module 1: Introduction to ULEADD

One of the challenges of dealing with dark data is based on how we think about what we know. We believe that we know what we know. We believe we know what we don’t know. We believe we know things that are actually unknown to us. We may not realize that there are things that are completely unknown to us. To be competitive, we need to rapidly learn the unknown and find a way to create value from it. ULEADD (Understand, Learn, Evaluate, Assess, Define, Design) is a way to improve decision-making, reduce failure, and structure discussions in a productive, team-based environment. ULEADD is a framework for discovery that provides a structure to identify and extract value from data that is typically hidden from sight.

Module 2: EVALUATE and ASSESS and the Path Forward

The evaluate and assess steps in ULEADD set the stage for everything you do when you approach dark data. You will be better positioned for success by understanding what you know and don’t know, what you need to move forward, and methodologies that will support your work.

Module 3: ULEADD: Design for the Unknown

The define and design steps in ULEADD are where you document what needs to be done and begin to plan your solution. These key steps act as your blueprint forward, ensuring that you have a complete picture and plan before beginning any data work.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores ULEADD, an established framework for identifying and extracting value from typically hidden data

Taught by Curtis Thompson, an experienced instructor in data analysis and visualization

Provides a structured approach to dark data analysis, enabling learners to make informed decisions and mitigate risks

Applicable to a wide range of data-centric projects and scenarios, enhancing its versatility

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Extracting Value from Dark Data: ULEADD with these activities:

Review Types of Data

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Reinforces the data structure concepts that are a foundation of this course.

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Review the different types of data commonly encountered in data analysis.
Familiarize yourself with the associated data structures, such as arrays, lists, and trees.

Read Understanding Machine Learning: From Theory to Algorithms

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Familiarize yourself with the fundamentals of machine learning and data science to enhance your understanding of the course materials.

View Understanding Machine Learning: From Theory to... on Amazon

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Read chapters 1-3 to gain a foundational understanding of machine learning concepts and algorithms.
Work through the exercises at the end of each chapter to reinforce your learning.

Create a mind map of the ULEADD framework

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Visualize the ULEADD framework to improve your understanding and recall of its steps.

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Review the ULEADD framework and identify its key components.
Use a mind mapping tool or software to create a visual representation of the framework.

Nine other activities

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Watch online tutorials on ULEADD

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Supplement your learning with additional resources and perspectives on ULEADD and its applications.

Browse courses on Dark Data

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Search for online tutorials on ULEADD.
Watch and engage with the tutorials to gain insights and practical tips.

Join a study group to discuss ULEADD concepts

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Engage in peer learning to enhance your understanding of ULEADD and its applications.

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Find or create a study group with other course participants.
Meet regularly to discuss course materials, ask questions, and share insights.

Exploring ULEADD with Tutorials

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Provides practical demonstrations that complement the theoretical understanding of ULEADD.

Browse courses on Data Extraction

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Identify online tutorials that offer hands-on demonstrations of the ULEADD approach.
Follow the tutorials step-by-step, implementing the ULEADD Framework to extract value from sample datasets.

Extract Dark Data

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Practice identifying and extracting key insights from raw, unstructured data to improve your proficiency in using ULEADD.

Browse courses on Dark Data

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Gather sample dark data from various sources, such as social media feeds or IoT devices.
Apply ULEADD framework steps to structure your analysis.
Extract meaningful patterns and insights from the dark data using appropriate techniques, such as data cleaning and feature engineering.

Solve practice problems on ULEADD

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Gain proficiency in applying the ULEADD framework by solving practice problems.

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Find practice problems online or in textbooks.
Work through the problems step-by-step using the ULEADD framework.

Volunteer with organizations working with dark data

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Gain hands-on experience and learn from experts by volunteering with organizations that work with dark data.

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Search for organizations or initiatives that work with dark data.
Contact the organization and inquire about volunteering opportunities.

Practice ULEADD with Exercises

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Reinforces the ULEADD approach through practical exercises, solidifying its application.

Browse courses on Data Extraction

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Find exercises that challenge you to apply the ULEADD Framework to various data scenarios.
Complete the exercises, evaluate your results, and identify areas for improvement.

Develop a ULEADD plan for a real-world data project

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Apply your understanding of ULEADD to a practical scenario by developing a plan for a real-world data project.

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Identify a real-world data problem that you want to solve.
Apply the ULEADD framework to develop a plan for solving the problem.

Contribute to open-source projects related to dark data

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Gain practical experience and contribute to the wider community by participating in open-source projects related to dark data.

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Identify open-source projects related to dark data on platforms like GitHub.
Review the documentation and tutorials of the project.

Career center

Learners who complete Extracting Value from Dark Data: ULEADD will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is a professional who combines programming skills with knowledge of mathematics and statistics to extract meaningful insights from data. This course, with its emphasis on extracting value from data, can be a valuable resource for Data Scientists. The ULEADD approach taught in this course can help Data Scientists effectively identify and extract value from data that may not be immediately apparent, leading to more informed decision-making and successful outcomes.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can be highly beneficial for Data Analysts as it provides a structured approach to extracting value from data, including dark data. By understanding the ULEADD framework, Data Analysts can improve their ability to uncover hidden insights and make data-driven recommendations.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve complex problems and automate tasks. This course can be beneficial for Machine Learning Engineers as it provides a framework for understanding and extracting value from data. By leveraging the ULEADD approach, Machine Learning Engineers can improve the performance and accuracy of their machine learning models.

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Business Analyst

Business Analysts help organizations improve their performance by analyzing data and identifying areas for improvement. This course can be instrumental for Business Analysts, as it provides a framework for extracting value from data that can be used to inform decision-making and drive business strategy.

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Data Engineer

Data Engineers design and implement data pipelines and systems to manage and process large volumes of data. This course can be helpful for Data Engineers as it provides insights into how to extract value from data, including dark data. By understanding the ULEADD approach, Data Engineers can optimize data pipelines and systems to maximize the value of data.

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Data Architect

Data Architects design and implement data architectures to meet the needs of an organization. This course can be useful for Data Architects as it provides a structured approach to extracting value from data. By understanding the ULEADD framework, Data Architects can create data architectures that are optimized for value extraction and decision-making.

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Database Administrator

Database Administrators manage and maintain databases to ensure data integrity and availability. This course can be beneficial for Database Administrators as it provides insights into how to extract value from data, including dark data. By understanding the ULEADD approach, Database Administrators can optimize database management practices to maximize data value.

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Statistician

Statisticians collect, analyze, and interpret data to draw meaningful conclusions. This course can be helpful for Statisticians as it provides a structured approach to extracting value from data, including dark data. By understanding the ULEADD framework, Statisticians can effectively identify and extract valuable insights from complex data.

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Software Developer

Software Developers design, develop, and maintain software applications. This course can be beneficial for Software Developers as it provides insights into how to extract value from data. By understanding the ULEADD approach, Software Developers can create software applications that are optimized for data extraction and utilization.

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Information Technology (IT) Manager

IT Managers plan and direct the implementation and maintenance of information systems in an organization. This course can be useful for IT Managers as it provides a framework for understanding and extracting value from data. By understanding the ULEADD approach, IT Managers can make informed decisions about data management and utilization, leading to improved IT systems and services.

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Project Manager

Project Managers plan, execute, and close projects to achieve specific goals. This course can be beneficial for Project Managers as it provides a structured approach to extracting value from data. By understanding the ULEADD framework, Project Managers can effectively identify and extract valuable insights from project data, leading to better decision-making and project outcomes.

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Business Intelligence Analyst

Business Intelligence Analysts use data to identify trends and patterns that can help organizations make better decisions. This course can be valuable for Business Intelligence Analysts as it provides a framework for understanding and extracting value from data. By understanding the ULEADD approach, Business Intelligence Analysts can effectively identify and extract valuable insights from data, leading to better decision-making and improved business outcomes.

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Data Governance Officer

Data Governance Officers develop and implement policies and procedures to ensure the effective and ethical use of data. This course can be useful for Data Governance Officers as it provides a framework for understanding and extracting value from data. By understanding the ULEADD approach, Data Governance Officers can make informed decisions about data governance and utilization, leading to better data management practices and organizational outcomes.

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Chief Data Officer (CDO)

Chief Data Officers (CDOs) are responsible for overseeing the management and utilization of data within an organization. This course can be valuable for CDOs as it provides a framework for understanding and extracting value from data. By understanding the ULEADD approach, CDOs can make informed decisions about data management and utilization, leading to improved data strategies and organizational outcomes.

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Data Ethics Officer

Data Ethics Officers ensure that data is used in an ethical and responsible manner. This course can be useful for Data Ethics Officers as it provides a framework for understanding and extracting value from data. By understanding the ULEADD approach, Data Ethics Officers can effectively identify and mitigate ethical risks associated with data utilization, leading to better data practices and organizational outcomes.

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