Data Cleaning Training Course
Data Cleaning, also known as Data Cleansing, is the process of identifying and correcting errors in a dataset prior to analysis.
This instructor-led live training, available either online or onsite, is designed for data scientists, data analysts, and business analysts who seek to clean and process data effectively.
Upon completion of this training, participants will be capable of:
- Developing an effective data cleaning strategy.
- Implementing practical tools for data cleaning.
- Achieving results with greater efficiency.
- Learning and applying best practices in data cleaning.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practice sessions.
- Hands-on implementation within a live laboratory environment.
Customization Options for the Course
- To request customized training for this course, please reach out to us to make arrangements.
Course Outline
Introduction
Overview of Data Cleaning
- Importance of Data Cleaning
Case Study: The Impact of Dirty Big Data
Developing a Comprehensive 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
- Understanding of data analytics concepts.
Target Audience
- Data Scientists
- Data Analysts
- Business Analysts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
Data Cleaning Training Course - 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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