Preview Data Literacy Master Class - Common Data Analysis Mistakes (Chapter 15)

Enjoy a preview of Dr. David P. Marco's Data Literacy Master class at datamanagementeducation.com/p....
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. For the course outline, please show the following 19 chapters.
• 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