Data Cleaning Training Course
Data cleansing, also known as data cleaning, involves the detection and correction of errors or inconsistencies within a dataset prior to analysis.
This instructor-led, live training session (available online or on-site) is designed for data scientists, data analysts, and business analysts looking to master the effective cleaning and processing of data.
Upon completion of this training, participants will be able to:
- Formulate an effective strategy for data cleaning.
- Deploy practical tools for data cleansing.
- Achieve results with greater efficiency.
- Understand and apply best practices in data cleaning.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practice sessions.
- Hands-on implementation in a live laboratory environment.
Customization Options
- To request a customized version of this course, please contact us to arrange details.
Course Outline
Introduction
Overview of Data Cleansing
- Why is Data Cleansing Important?
Case Study: When Big Data Is Dirty
Developing a Comprehensive Data Cleansing Strategy
Common Data Cleansing Tools
- Drake
- OpenRefine
- Pandas (for Python)
- Dplyr (for R)
Achieving High Data Integrity
- Complete
- Correct
- Accurate
- Relevant
- Consistent
Automating the Data Cleansing Process
Monitoring Your Data Cleansing System
Summary and Conclusion
Requirements
- A foundational understanding of data analytics concepts.
Target Audience
- Data Scientists
- Data Analysts
- Business Analysts
Open Training Courses require 5+ participants.
Data Cleaning Training Course - Booking
Data Cleaning Training Course - Enquiry
NobleProg offers professional training programs designed specifically for companies and organizations. These trainings are not intended for individuals.
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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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