Come discover the fascinating world of our content – quality information, inspiring articles, and new ideas that enrich your knowledge. Join our community and experience unique experiences in the world of information.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
This specialization aims to explore the general data quality framework in depth and provide learners with additional information on the detailed assessment of overall data quality that should be performed before data analysis. The goal is for learners to include data quality assessments in their process as a critical component of any project. We hope to share knowledge about general data quality with all learners, such as data scientists and quantitative analysts, who have not received sufficient training in the initial stages of the data science process that focus on data collection and data quality assessment. We believe that extensive knowledge of data science techniques and statistical analysis procedures will not help quantitative research if the data collected is not of high enough quality.
Because of this focus, there will be little material on data analysis, which is included in many other specializations in the Coursera course series. The main emphasis of this specialization will be on understanding and maximizing the quality of data before analysis.
Learners will acquire valuable knowledge and skills that have practical application to the overall data quality framework through:
And they will complete practical assessments to refine concepts and reinforce essential ideas.
