Total Data Quality Specialization
Total Data Quality Specialization
Instructors: Trent D Buskirk
Access provided by NIH/NIMH
2,878 already enrolled
from 56 reviews of courses in this program
Beginner level
No prior experience required
4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Explore the Total Data Quality framework.
Learn how to integrate data quality assessments as a critical component in all your projects.
Understand on the initial steps of data science, emphasizing data collection, data source evaluation, and techniques for ensuring high-quality data.
Skills you'll gain
- Data Access
- Data Analysis
- Data Collection
- Data Governance
- Data Integrity
- Data Management
- Data Preprocessing
- Data Processing
- Data Quality
- Data Strategy
- Data Validation
- Design Strategies
- Model Evaluation
- Quality Assurance
- Quantitative Research
- Sampling (Statistics)
- Statistical Analysis
- Threat Detection
- Verification And Validation
- Skills section collapsed. Showing 12 of 19 skills.
Details to know
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Taught in English
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