Total Data Quality Coursera

Overview

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 Total Data Quality Specialization offered by Coursera in partnership with University of Michigan 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. 

Applied Learning Project

• Learners will gain valuable and applicable knowledge and skills about the Total Data Quality framework from interviews with leading experts in this area, engaging lectures, live demonstrations of concepts using software and case studies, and will complete practical assessments to solidify concepts and reinforce essential ideas.

What You Will Learn:

• Explore the Total Data Quality framework.

• Understand on the initial steps of data science, emphasizing data collection, data source evaluation, and techniques for ensuring high-quality data. 

• Learn how to integrate data quality assessments as a critical component in all your projects.

Skills You Will Gain:

• Data Collection

• Data Management

• Data Quality Framework

• Data Analysis

• Total Data Quality Framework

• Data Classification

• Data Computation Software