Advanced Certificate in Data Quality Automation

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<p>The Advanced Certificate in Data Quality Automation is a comprehensive course designed to equip learners with essential skills for managing and improving data quality. This certification focuses on industry-demand techniques and tools used for automating data quality processes, enabling organizations to save time, reduce errors, and make informed decisions based on accurate data.

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</p> <p>As businesses increasingly rely on data-driven strategies, the demand for professionals with data quality automation skills has skyrocketed. This course provides learners with hands-on experience in data profiling, data validation, data cleansing, and data monitoring, making them highly sought after in various industries, including finance, healthcare, and technology.</p> <p>By completing this course, learners will gain the skills and knowledge necessary to design, implement, and maintain automated data quality processes, leading to career advancement opportunities and increased earning potential.</p>

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Here are the essential units for an Advanced Certificate in Data Quality Automation:

• Data Quality Fundamentals: Understanding data quality concepts, data profiling, data cleansing, and data validation techniques.

• Data Quality Tools and Technologies: Exploring various data quality software, including open-source and commercial solutions.

• Data Quality Automation Framework: Designing and implementing a data quality automation framework, focusing on automation principles and best practices.

• Data Quality Automation Tools: Hands-on experience with data quality automation tools, such as Trifacta, Talend, and Informatica.

• Data Quality Metrics and Reporting: Measuring and monitoring data quality, creating data quality dashboards, and reporting on data quality metrics.

• Master Data Management and Data Quality: Understanding the relationship between master data management (MDM) and data quality, and implementing MDM solutions.

• Data Quality and Data Governance: Aligning data quality initiatives with data governance programs and integrating data quality into data governance frameworks.

• Big Data Quality Automation: Exploring data quality challenges and solutions in big data environments, such as Hadoop and Spark.

• Cloud Data Quality Automation: Implementing data quality automation in cloud environments, such as AWS, Azure, and Google Cloud Platform.

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The Advanced Certificate in Data Quality Automation is a valuable credential for professionals in the UK's growing data industry. This section highlights the job market trends using a 3D pie chart to showcase the demand for specific roles related to data quality automation. The data quality analyst role leads the pack with a 45% share, reflecting the need for experts in assessing, cleaning, and protecting data assets. Data quality engineers follow closely with a 30% share due to their expertise in developing and implementing automated data quality solutions. Data quality managers secure a 20% share, demonstrating the demand for professionals who can strategically lead data quality initiatives. The data quality software developer role, with a 5% share, represents the need for skilled programmers in creating custom data quality automation tools. This responsive, 3D pie chart uses Google Charts and is designed to adapt to all screen sizes, offering users an engaging and informative visual representation of the data quality automation job market trends in the UK.

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ADVANCED CERTIFICATE IN DATA QUALITY AUTOMATION
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London School of International Business (LSIB)
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05 May 2025
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