Master data quality management to ensure reliable analytics by assessing, cleansing, and maintaining accurate datasets.
Master data quality management to ensure reliable analytics by assessing, cleansing, and maintaining accurate datasets.
This specialization provides comprehensive training in the Total Data Quality framework, focusing on essential steps before data analysis. Through three courses, students learn to evaluate and maximize data quality in scientific investigations. The program emphasizes data collection, source evaluation, and quality assessment techniques, preparing professionals to ensure high-quality data for analysis.
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English
What you'll learn
Master the Total Data Quality framework fundamentals
Evaluate and measure data quality effectively
Implement quality maximization strategies
Understand data collection and evaluation methods
Apply quality assessment in research projects
Skills you'll gain
This course includes:
29 Hours PreRecorded video
Expert interviews, software demonstrations, case studies
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 courses in this program
IBM DevOps and Software Engineering Professional Certificate
Course 1 · 6 Months to complete · 15 modules
Privacy and Standardisation
Course 2 · 64 Hours to complete · 5 modules
Data Structures and Algorithms
Course 3 · 46 Hours to complete · 5 modules
Fee Structure
Payment options
Financial Aid
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