Total Data Quality Specialization

This specialization seeks to delve deeper into the Overall Data Quality framework and give learners more details on the complete evaluation of total data quality that must take place prior to data analysis. The goal is for learners to include data quality reviews as a crucial component of all projects in their workflow.

This specialization will concentrate on the critical first steps in any type of data-driven scientific investigation: generating or gathering data, understanding where the data came from, evaluating the data's quality, and taking steps to improve the data's quality before performing any kind of statistical analysis or applying data science techniques to answer research questions. Because of this, there will be limited content on data analysis, which is addressed in a variety of Coursera specializations. Prior to analysis, the primary focus of this expertise will be on understanding and optimizing data quality.

This course offers:

• Shareable Certificate: Earn a Certificate upon completion
• 100% online courses: Start instantly and learn at your own schedule.
• Flexible Schedule: Set and maintain flexible deadlines.
• Beginner Level: No prior experience required
• Approximately 3 months to complete: Suggested pace of 3 hours/week
• Subtitles: English

Enroll here: https://www.coursera.org/specializations/total-data-quality