Course Outline
Introduction
Overview of Data Cleaning
- Why is Data Cleaning Important?
Case Study: When Big Data Is Dirty
Developing A Thorough Data Cleaning Strategy
Common Data Cleaning Tools
- Drake
- OpenRefine
- Pandas (for Python)
- Dplyr (for R)
Achieving High Data Integrity
- Complete
- Correct
- Accurate
- Relevant
- Consistent
Automating the Data Cleaning Process
Monitoring Your Data Cleaning System
Summary and Conclusion
Requirements
- An understanding of data analytics concepts.
Audience
- Data Scientists
- Data Analysts
- Business Analysts
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from £1900 online delivery, based on a group of 2 delegates, £600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
Please see our public courses
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