Data Cleaning Training Course
Data Cleaning or Data Cleansing refers to the process of detecting and fixing issues in a data set before analyzing it.
This instructor-led, live training (online or onsite) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.
By the end of this training, participants will be able to:
- Develop an effective data cleaning strategy.
- Implement useful tools for data cleaning.
- Get a result more efficiently.
- Learn and apply data cleaning best practices.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
Need help picking the right course?
macao@nobleprog.com or +852 81990613
Data Cleaning Training Course - Enquiry
Data Cleaning - Consultancy Enquiry
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
Mamonyane Taoana - Road Safety Department
Course - Data Cleaning
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