Professional Certificate in Data Quality Tools

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The Professional Certificate in Data Quality Tools is a crucial course designed to equip learners with essential skills in data quality assessment, improvement, and management. In today's data-driven world, the demand for professionals who can ensure high-quality data is increasing rapidly across industries.

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AboutThisCourse

This course focuses on teaching learners how to use various data quality tools to identify, clean, and protect data assets. By completing this program, learners will gain a competitive edge in their careers, as they will have the skills and knowledge necessary to ensure their organization's data is accurate, complete, and reliable. Through hands-on exercises and real-world examples, learners will become proficient in data profiling, data cleansing, and data validation. They will also learn how to develop data quality metrics and KPIs, and how to communicate data quality issues to stakeholders. Overall, this course is an excellent opportunity for professionals looking to advance their careers in data analytics, data science, business intelligence, or any other field that relies on high-quality data. By completing this program, learners will have the skills and confidence necessary to ensure their organization's data is accurate, complete, and reliable, making them invaluable assets to any team.

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CourseDetails

Here are the essential units for a Professional Certificate in Data Quality Tools:

• Introduction to Data Quality Tools:

Understanding the concept of data quality and the tools used for ensuring high data quality standards.

• Data Profiling:

Identifying data quality issues and gaining insights into data using data profiling techniques.

• Data Cleansing:

Techniques for cleaning and standardizing data, including addressing data redundancy, inconsistency, and inaccuracy.

• Data Matching and Linking:

Matching and linking records from different sources to create a single, accurate, and complete view of data.

• Data Governance:

Establishing policies, procedures, and standards for managing data quality and ensuring compliance.

• Data Quality Metrics and Reporting:

Measuring and reporting on data quality using metrics and key performance indicators (KPIs).

• Data Quality and Business Intelligence:

Understanding the impact of data quality on business intelligence and analytics.

• Data Quality Tools and Technologies:

Exploring the different data quality tools and technologies available, including open-source and commercial solutions.

• Data Quality Project Management:

Managing data quality projects, including planning, execution, and monitoring.

• Data Quality and Data Security:

Understanding the relationship between data quality and data security and how to ensure data is protected while maintaining high data quality standards.

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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  • NotAccreditedRecognized
  • NotRegulatedAuthorized
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CourseFee

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
  • OpenEnrollmentStartAnytime
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StandardMode GBP £90
CompleteInTwoMonths
FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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PROFESSIONAL CERTIFICATE IN DATA QUALITY TOOLS
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London School of International Business (LSIB)
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05 May 2025
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