Part of the YH programme Data Manager at TUC Yrkeshögskola. This course cannot be applied for on its own. Programme code: DATA23STO.
The course gives you knowledge of planning, carrying out and checking work that ensures data is of the right quality for its purpose. You learn techniques for measuring data quality in terms of accuracy, completeness, consistency, reliability and timeliness. Through theory and practical exercises you develop specialised knowledge of data quality management, including the possibilities and limitations of automated techniques. After the course you can detect and correct quality errors that require human judgement.
Duration: 6 weeks
Language: Swedish
Level: Intermediate
CSN-eligible
Time commitment: Full time, 6 weeks (30 YH credits)
The course aims to give the student knowledge of planning, carrying out and checking technical work performed to ensure that data is of the right quality for its purposes. This includes knowledge of different techniques for measuring data quality according to criteria of accuracy, completeness, consistency, reliability and whether or not the data is up to date.
The goal is to give the student, through theory and practical exercises, specialised knowledge of techniques for data quality management. This includes knowledge of the possibilities and limitations of automated techniques, and of detecting and correcting quality errors that only the human mind can perceive.
The course aims to give the student knowledge of planning, carrying out and checking technical work performed to ensure that data is of the right quality for its purposes. This includes knowledge of different techniques for measuring data quality according to criteria of accuracy, completeness, consistency, reliability and whether or not the data is up to date.
The goal is to give the student, through theory and practical exercises, specialised knowledge of techniques for data quality management. This includes knowledge of the possibilities and limitations of automated techniques, and of detecting and correcting quality errors that only the human mind can perceive.
What you will learn
What you learn.
You can plan, carry out and check work to ensure data quality.
You can measure data quality in terms of accuracy, completeness, consistency and reliability.
You know the possibilities and limitations of automated techniques for data quality management.
You can detect and correct quality errors that only human judgement can identify.
You can assess whether data is current and up to date for its purpose.
Curriculum
How the course is built.
Criteria for data quality
Accuracy, completeness, consistency, reliability and timeliness.
Planning and control of quality work
How to plan and carry out work to ensure the right data quality.
Automated techniques
Possibilities and limitations of automated data quality management.
Detecting and correcting quality errors
Practical exercises in identifying and correcting errors that require human judgement.
Target audience
Who is this for?
The course is aimed at you who are studying TUC's YH programme in data and want to work with data quality issues.
What "verified" means here
Verified credential.
When you complete the course, TUC Yrkeshögskola issues your certificate. Your name, the course content and the issue date are encrypted and secured on blockchain, so it cannot be changed, and anyone can check that it is genuine.
100% Verifiable certificates Secured on blockchain
