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Data Literacy Master Class

This university-grade course guides the learner through an in-depth study of data literacy. It aims to help the learner become a master data literacy professional. Learners that can successfully pass each chapter’s short quiz and the course’s final exam will become a certified Data Literacy Master through Data Management University. Duration: Nineteen (19) chapters, short chapter quizzes, final exam.

Duration: Nineteen (19) chapters, short chapter quizzes, final exam

This course guides individuals in the study of the major areas of data literacy. The purpose of this course is to help the learner become a master data literacy professional. Learners that can successfully pass each chapter’s short quiz and the course’s final exam will become a certified Data Literacy Master through Data Management University.

Course Content

  • Data Literacy Master Class Course Overview
  • Background & Fundamentals
  • Return on Investment (ROI)
  • Data Literacy Levels, Roles, & Personas
  • Enterprise Data Management
  • Data Governance
  • Data Quality Management
  • Metadata Management
  • Data Ethics
  • Data Analysis Terms and Concepts
  • Data Analysis Distribution and Testing
  • Data Structures & Data Traits
  • Qualitative and Quantitative Data
  • Types of Graphs and Charts
  • Common Data Analysis Mistakes
  • Storytelling with Data – 1
  • Storytelling with Data – 2
  • Data Literacy Socialization & Communication
  • Conclusion, Summary, and Final Exam

Course Content by Module

Chapter 1 – Data Literacy Master Class Course Overview
Lesson 1 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Chapter 2 – Backgrounds and Fundamentals
Lesson 2 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 3 – Data Literacy Return on Investment
Lesson 3 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 4 – Data Literacy Level, Roles, and Personas
Lesson 4 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 5 – Enterprise Data Management
Lesson 5 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 6 – Data Governance
Lesson 6 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 7 – Data Quality Management
Lesson 7 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 8 – Metadata Management
Lesson 8 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 9 – Data Ethics
Lesson 9 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 10 – Data Analysis Terms and Concepts
Lesson 10 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 11 – Data Analysis Distribution and Testing
Lesson 11 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 12 – Data Structures and Data Traits
Lesson 12 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 13 – Qualitative and Quantitative Data
Lesson 13 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 14 – Types of Graphs and Charts
Lesson 14 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 15 – Common Data Analysis Mistakes
Lesson 15 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 16 – Storytelling with Data – Part 1
Lesson 16 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Chapter 17 – Storytelling with Data – Part 2
Lesson 17 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 18 – Socialization and Communication
Lesson 18 of 19 within section Course Content by Module. You must enroll in this course to access course content.
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Chapter 19 – Conclusion Summary and Final Exam
Lesson 19 of 19 within section Course Content by Module. You must enroll in this course to access course content.
Has Quiz
Picture of Dr. David Marco

Dr. David Marco

David is one of the world’s leading experts in enterprise data management, data governance, data warehousing, and metadata management. As a consultant and speaker, he has guided hundreds of client partner organizations in their data management improvement journeys.

David is the author of the two best-selling books on metadata management “Universal Meta Data Models” and “Building and Managing the Meta Data Repository“. In addition, he is a coauthor of “Impossible Data Warehouse Situations and Solutions from the Experts” and “Data Resource Management“. David has published hundreds of articles and has appeared as a keynote speaker at numerous conferences.

A graduate of De Paul University (BS and MBA), David is the founder and president of EWSolutions, Inc. (http://www.ewsolutions.com)

Advanced
Data Literacy Master Class
Duration
Nineteen (19) chapters
Categories
Lessons
19
Certificate
Yes
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Why Take The Course

Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.–H.G. Wells (1866-1946)

Companies that ranked in the top third of the Data Literacy Index (DLI) are associated with 3% – 5% greater enterprise value(market capitalization) (Source: Data Literacy Index).

The Data Management Industry’s Only University-Level Data Literacy Course for Data Management Professionals

Once you pass the Final Exam you will become a certified Data Literacy Master through Data Management University

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