Data Quality Fundamentals (Udemy.com)
Understand key concepts, principles and terminology related to Data Quality.
Created by: Sid Inf
Last updated December 2019
What you will learn
- Determine data quality requirements by studying business functions, gathering information, evaluating output requirements and formats.
- Profile select data sets to ensure quality and develop the data visualizations necessary to both manage and communicate data quality.
- Coordinate business efforts to deliver data that is fit for use for use in critical processes, analysis and reports.
- Collaborate with business application team to document information architecture requirements as needed
- Serve as a subject matter expert and perform data quality related functions for urgent, high visibility, high profile, and strategic projects while meeting challenging deadlines.
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.5 out of 5higher than 49% of them
- Reviews660#180 of 372 by number of reviews
- Length2.8 hoursshorter than 69% of them
- Last updatedDecember 2019earlier than 90% of them
Course Description
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.
Instructor Details
- 4.5 Rating
660 Reviews
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.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
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Reviews
By Ratmi Nur Isnaini on 11/3/2024
The course is good, we can learn the basic of data quality. The instructor voice is clear and not too fast, so we can understand what he says.
By Kapildev Pund on 1/20/2022
I am a beginner to Data Quality Development, I have been working as an administrator for DQ MDM tools but want to move to development in future, This course is perfect for beginners like me. Thank you
By Jose Ong on 11/7/2021
I did not get bored from beginning to end. I think it just have right amount of topic for learning data analysis fundamentals. And the materials used and delivery seems okay.
By Hassan Radwan on 9/2/2020
There are a lot of terminologies not mentioned in this course like Critical Data Elements and how they are determined. Also, there is no story telling example of how the Data Quality is applied including the role of each participant.
By Dasha Mayfield on 5/17/2020
The course is very useful and easy to follow. It give you basic but consistent understanding. I would add some downloads (main slides) and quizzes to repeat the most important concepts and definitions. Thank you!
By Santos Hernandez on 4/8/2020
Really enjoying this course so far. The Course Creator is very knowledgable. The audio is clear and concise. The slides are engaging. I will review once I have completed the course.
By Soheb Khan on 12/5/2019
This is basic course on DQ concepts. Content is good and well explained. I know, there is another course on IDQ but this should also include short details on the basic rules and how they are implemented through IDQ or other tools.
By Martinsilaban on 11/3/2019
Good conceptual course about data quality and profiling. Some information are not directly related to the topic for example about informatica. It will be better if the trainer mention in beginning what are data profiling products available in market.
By Agata Orszulska on 6/2/2019
The training presents in a very clear way all fundamentals connected to the data quality. I’m a beginner in that area and this course is really useful to me.
By Joyce Monroe on 1/24/2019
Seeking information and the course prove to be very informative. The instructor was very professional and did a great job of giving insightful examples of terms mention in the course.
Quality Score
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Overall Score : 90 / 100












