Data Quality Fundamentals Udemy

Data Quality Fundamentals by Sid Inf

The Data Quality Fundamentals course is undoubtedly the most interesting and the most sought after by those seeking to specialize in Business.

Understand key concepts, principles and terminology related to Data Quality.

Also, keep in mind that Sid Inf, professor of the course, is an excellent professional with worldwide recognition.

Therefore, if you want to study and learn more, we recommend that you start this udemy course right now.

Download Udemy Course

Data Quality Fundamentals Udemy

What is the Data Quality Fundamentals course about?

Data quality is not necessarily data that is devoid of errors. Incorrect data is only one part of the data quality equation. Managing data quality is a never ending process. Even if a company gets all the pieces in place to handle today’s data quality problems, there will be new and different challenges tomorrow. That’s because business processes, customer expectations, source systems, and business rules all change continuously. To ensure high quality data, companies need to gain broad commitment to data quality management principles and develop processes and programs that reduce data defects over time. Much like any other important endeavor, success in data quality depends on having the right people in the right jobs. This course helps you understand key concepts, principles and terminology related to data quality and other areas in data management.

Other courses on the specialty: Business

Start Udemy Course

This udemy course includes:

Without Reporting

To enroll in the course you need:

No Data

Download Udemy Course

Course dictated by Sid Inf

Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.

More courses by the author: Sid Inf