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Dark Data Basics - Understanding the Unknown

This course will help you learn the vocabulary and concepts necessary to understand- and use- Dark Data to create value for your organization.

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What's inside

Syllabus

Course Introduction

Welcome to Dark Data Basics, Understanding the Unknown. We are excited you are here and hope you leave this course with an understanding of dark data and managing the unknown. This course will help you learn the vocabulary and concepts necessary to understand—and use—dark data to create value for your organization.

Module 1: Introduction to Dark Data

In order to deeply understand and use dark data, you need to know foundational concepts. In this module, you will learn basics related to dark data, including vocabulary, concepts, and ideas.

Module 2: Dark Data Classifications: Internal Dark Data

Internal dark data is data you have (or could have) access to within your organization. In this module, you’ll learn to classify dark data and understand where data is held.

Module 3: Dark Data Classifications, External Data

Not all data is within your reach or available to you. Sometimes, you will need data that is not part of your organization, may not be clearly or easily obtained, or may need to use strategies to figure out the next steps before analysis. In this module, you will learn about external dark data and the steps to take.

Module 4: Thinking for the Unknown: Computational Thinking

Working with dark data requires specific ways of thinking. In this module, you will learn about computational thinking and how it leads to value when you work with dark data.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills in data analysis and data classification, which are sought-after by employers

Teaches specific real-world methods for managing data from various company divisions

Offers practical experience working with different types of data

Taught by experienced instructors

Helps learners understand the value of data as a strategic asset

Introduces emerging trends and best practices in data management

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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 Dark Data Basics - Understanding the Unknown with these activities:

Join a Study Group for Dark Data

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Enhance your learning and broaden your perspectives by joining a study group where you can engage with peers, share knowledge, and support each other's understanding of dark data.

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Find or create a study group
Establish regular meeting times
Prepare for and participate in group discussions

Practice computational thinking exercises

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Engage in exercises that strengthen computational thinking skills, essential for working with dark data.

Browse courses on Computational Thinking

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Identify and solve computational problems related to dark data.
Use computational tools and techniques to analyze and interpret dark data.
Develop algorithms and models to extract insights from dark data.

Develop a Presentation on Dark Data Management

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Reinforce your understanding and share your knowledge by creating a presentation that effectively communicates the concepts and value of dark data management.

Browse courses on Data Visualization

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Outline key points and concepts
Gather data and create visuals
Practice and refine your presentation
Deliver your presentation to peers or stakeholders

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Explore Advanced Data Analysis Techniques

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Enhance your analytical skills by exploring tutorials on advanced techniques like machine learning and natural language processing for dark data analysis.

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Identify relevant tutorials and resources
Follow step-by-step instructions and practice exercises
Apply these techniques to a dark data project or case study

Practice Dark Data Analysis Techniques

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Engage in hands-on exercises to reinforce your understanding and proficiency in dark data analysis techniques covered in the course.

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Identify and collect relevant dark data sources
Clean and preprocess the dark data
Apply data mining and analysis techniques to extract insights
Visualize and interpret the findings

Develop a Dark Data Management Plan

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Solidify your understanding of dark data management by creating a plan that outlines strategies for identifying, collecting, and analyzing dark data in your organization.

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Define your organization's dark data objectives
Identify potential dark data sources
Develop strategies for data collection and analysis
Outline data governance and security measures
Present your plan to stakeholders for feedback and implementation

Contribute to a Dark Data Open-Source Project

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Enrich your understanding and contribute to the broader dark data community by participating in an open-source project that aligns with your interests.

Browse courses on Community Involvement

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Identify a suitable open-source project
Review the project's documentation and codebase
Fix bugs or implement features
Submit pull requests for your contributions

Implement a Dark Data Use Case

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Apply your knowledge and skills by initiating a project that leverages dark data to generate insights and drive decision-making in your organization.

Browse courses on Data-Driven Decision Making

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Identify a business problem or opportunity
Collect and analyze relevant dark data
Develop and implement a solution
Monitor and evaluate the impact of your project

Career center

Learners who complete Dark Data Basics - Understanding the Unknown will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of math, statistics, and programming to extract insights from large datasets. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to identify and solve business problems. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians use data to draw conclusions about populations. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Statistician

Data Analyst

A Data Analyst may use data to identify trends or make predictions. They may also work in a consulting role to help organizations improve their data management practices. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Data Analyst

Information Security Analyst

Information Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Information Security Analyst

Risk Analyst

Risk Analysts use data to identify and mitigate risks. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Risk Analyst

Product Manager

Product Managers use data to understand customer needs and develop new products. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Product Manager

Data Engineer

Data Engineers design, build, and maintain the systems that store and process data. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Quantitative Analyst

Data Governance Specialist

Data Governance Specialists develop and implement policies and procedures to ensure that data is managed in a consistent and reliable manner. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Data Governance Specialist

Market Researcher

Market Researchers use data to understand consumer behavior and market trends. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Market Researcher

Privacy Analyst

Privacy Analysts ensure that organizations comply with privacy laws and regulations. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Privacy Analyst

Data Protection Officer

Data Protection Officers oversee the protection of personal data. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Data Protection Officer

Compliance Analyst

Compliance Analysts ensure that organizations comply with laws and regulations. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Compliance Analyst

Fraud Analyst

Fraud Analysts use data to identify and investigate fraudulent activities. This course may be useful as it will help you build a foundation in understanding dark data, which is a type of data that is often overlooked or underused.

See salaries and explore the career path for Fraud Analyst

Reading list

We've selected 14 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Dark Data Basics - Understanding the Unknown.

Hadoop in Practice

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Provides a practical guide to working with unstructured data, which major source of dark data. It covers a wide range of topics, from data collection and preparation to analysis and visualization.

Dark Data Basics - Understanding the Unknown

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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