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Duration 7 hours
Course Outline
Introduction
Overview of Data Cleansing Procedures
- The Significance of Data Hygiene in Governance Operations
Case Study: The Impact of Compromised Data Integrity
Formulating a Comprehensive Data Cleansing Protocol for Government Operations
Standardized Instruments for Data Refinement
- Drake
- OpenRefine
- Pandas (Python-based)
- Dplyr (R-based)
Ensuring Superior Data Quality Standards
- Completeness
- Correctness
- Accuracy
- Relevance
- Consistency
Automating Data Cleansing Workflows for Government Efficiency
Surveillance and Oversight of Data Cleansing Systems
Synthesis and Concluding Remarks
Requirements
- A foundational understanding of data analytics principles.
Target Audience
- Data Scientists
- Data Analysts
- Business Analysts
Testimonials (2)
Using Road Safety data when doing praticals
Maphahamiso Ralienyane - Road Safety Department
Course - Data Cleaning
It was insightful and I gained a lot of data analysis skills