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Course Outline
Introduction
Overview of Data Cleaning for Government
- Why is Data Cleaning Important for Government?
Case Study: When Big Data Is Dirty in Public Sector Operations
Developing a Thorough Data Cleaning Strategy for Government
Common Data Cleaning Tools for Government Use
- Drake
- OpenRefine
- Pandas (for Python)
- Dplyr (for R)
Achieving High Data Integrity for Government Operations
- Complete
- Correct
- Accurate
- Relevant
- Consistent
Automating the Data Cleaning Process for Government Efficiency
Monitoring Your Data Cleaning System for Continuous Improvement
Summary and Conclusion for Government Stakeholders
Requirements
- A comprehensive understanding of data analytics concepts.
Audience for Government
- Data Scientists
- Data Analysts
- Business Analysts
7 Hours
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