CompTIA Data+: Data Quality & Master Data Management
CompTIA
| Intermediate
- 16 videos | 1h 36m 20s
- Includes Assessment
- Earns a Badge
Ask any data analyst and they will tell you in no uncertain terms how important it is to work with quality data. Quality must be paramount to properly analyze data and glean important information from it. Likewise, master data management (MDM) is a key activity required of data analysts to ensure that information and business work in concert to ensure the completeness and proper care of important data. In this course, you will explore the importance of data quality, including common issues, best practices, and data quality tools. Then you will dig into examples of data quality, data validation, and types of data validation. Next, you will focus on data quality dimensions, data quality metrics, and validation methods. Finally, you'll learn about Master Data Management (MDM), MDM processes, and the importance of MDM. This course can be used to prepare for CompTIA Data+ (DA0-001) exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseIdentify the importance of data quality and data quality activities, such as cleansingOutline common data quality issuesProvide an overview of methods for ensuring data qualityDescribe best practices for ensuring high data qualityOutline typical data quality toolsIdentify examples of good data and poor dataOutline data validation activities and techniques
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Provide an overview of different types of data validationDescribe the role of data quality dimensionsOutline various ways to measure data qualityOutline various validation methodsDefine mdm and its purposeDescribe various processes used in mdmProvide an overview of the importance of mdmSummarize the key concepts covered in this course
IN THIS COURSE
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1m 1sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 34sAfter completing this video, you will be able to identify the importance of data quality and data quality activities, such as cleansing. FREE ACCESS
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5m 54sUpon completion of this video, you will be able to outline common data quality issues. FREE ACCESS
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7m 24sAfter completing this video, you will be able to provide an overview of methods for ensuring data quality. FREE ACCESS
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4m 46sUpon completion of this video, you will be able to describe best practices for ensuring high data quality. FREE ACCESS
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6m 2sIn this video, we will outline typical data quality tools. FREE ACCESS
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6m 27sIn this video, find out how to identify examples of good data and poor data. FREE ACCESS
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7m 32sAfter completing this video, you will be able to outline data validation activities and techniques. FREE ACCESS
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6m 37sUpon completion of this video, you will be able to provide an overview of different types of data validation. FREE ACCESS
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7m 50sAfter completing this video, you will be able to describe the role of data quality dimensions. FREE ACCESS
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5m 38sIn this video, we will outline various ways to measure data quality. FREE ACCESS
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7m 9sUpon completion of this video, you will be able to outline various validation methods. FREE ACCESS
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7m 43sAfter completing this video, you will be able to define MDM and its purpose. FREE ACCESS
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6m 39sUpon completion of this video, you will be able to describe various processes used in MDM. FREE ACCESS
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6m 20sAfter completing this video, you will be able to provide an overview of the importance of MDM. FREE ACCESS
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42sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.