Masterclass Certificate in Data Cleaning for Optimal Performance
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Course Details
• Introduction to Data Cleaning: Understanding Data Quality, Importance of Data Cleaning, Data Cleaning Process Overview
• Data Profiling: Data Quality Dimensions, Data Profiling Techniques, Identifying Data Issues
• Data Cleaning Techniques: Data Imputation, Data Transformation, Data Aggregation
• Data Standardization: Data Normalization, Data Scaling, Data Mapping
• Data Validation: Data Validation Techniques, Implementing Data Quality Rules, Validation Workflow
• Data Matching: Record Linkage, Entity Resolution, Merging and De-duping
• Data Cleaning Tools: Open Source Tools, Commercial Tools, Cloud-based Solutions
• Data Cleaning Best Practices: Data Governance, Data Quality Metrics, Continuous Data Cleaning
• Data Cleaning Case Studies: Real-world Examples, Lessons Learned, Best Practices.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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