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Coursera 4.3 (9)
Overview
The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects. The instructors 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. 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 course 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
Get more details
Visit programme websiteProgramme Structure
Courses include:
- The Total Data Quality Framework
- Measuring Total Data Quality
- Design Strategies for Maximizing Total Data Quality
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Operations and Quality Management View 16 other Short Courses in Operations and Quality Management in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- No prior experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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