About this Specialization
This specialization aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. We sincerely hope to disseminate knowledge about total data quality to all learners, such as data scientists and quantitative analysts, who have not had sufficient training in the initial steps of the data science process that focus on data collection and evaluation of data quality. We feel that extensive knowledge of data science techniques and statistical analysis procedures will not help a quantitative research study if the data collected/gathered are not of sufficiently high quality. This specialization will focus on the essential first steps in any type of scientific investigation using data: either generating or gathering data, understanding where the data come from, evaluating the quality of the data, and taking steps to maximize the quality of the data prior to performing any kind of statistical analysis or applying data science techniques to answer research questions. Given this focus, there will be little material on the analysis of data, which is covered in myriad existing Coursera specializations. The primary focus of this specialization will be on understanding and maximizing data quality prior to analysis.
From | University of Michigan via Coursera |
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Hours | 46 |
Instructors | Brady T. West, James Wagner, Jinseok Kim, Trent D Buskirk |
Language | English |
Subjects | Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data Quality Engineer 2 $47k
Coordinator of Quality Data $58k
Data Quality Analyst 2 $60k
Data and Quality Coordinator $64k
Data Quality Auditor $64k
Data Quality Steward $71k
Data Quality Technician $72k
Data Quality Analyst - Data Research Sourcing $74k
Data Quality Management $81k
Data Quality Assurance $92k
Senior Data Quality Administrator $120k
Data Scientist - Clinical Quality $127k
Courses in this Specialization
Listed in the order in which they should be taken
Starts | Course Information | |
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Jun |
The Total Data Quality Framework By the end of this first course in the Total Data Quality specialization, learners will be able to: 1. Identify the essential differences between designed and gathered data and... Coursera | University of Michigan |
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Jun |
Measuring Total Data Quality (You were viewing this course) By the end of this second course in the Total Data Quality Specialization, learners will be able to: 1. Learn various metrics for evaluating Total Data Quality (TDQ) at each stage... Coursera | University of Michigan |
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Jun |
Design Strategies for Maximizing Total Data Quality By the end of this third course in the Total Data Quality Specialization, learners will be able to: 1. Learn about design tools and techniques for maximizing TDQ across all stages... Coursera | University of Michigan |
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From | University of Michigan via Coursera |
---|---|
Hours | 46 |
Instructors | Brady T. West, James Wagner, Jinseok Kim, Trent D Buskirk |
Language | English |
Subjects | Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Data Quality Engineer 2 $47k
Coordinator of Quality Data $58k
Data Quality Analyst 2 $60k
Data and Quality Coordinator $64k
Data Quality Auditor $64k
Data Quality Steward $71k
Data Quality Technician $72k
Data Quality Analyst - Data Research Sourcing $74k
Data Quality Management $81k
Data Quality Assurance $92k
Senior Data Quality Administrator $120k
Data Scientist - Clinical Quality $127k
Similar Courses
Sorted by relevance