Professional Certificate Open Banking: Data Management

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The Professional Certificate in Open Banking: Data Management is a crucial course designed to equip learners with the necessary skills to thrive in the rapidly evolving banking industry. This program focuses on Open Banking, a revolutionary concept that prioritizes secure data sharing between banks and third-party providers, fostering innovation and improved customer service.

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With the global Open Banking market projected to grow exponentially, there's an increasing demand for professionals who understand its intricacies. This course is essential for career advancement, providing learners with knowledge in data management, security, and privacy standards, which are at the heart of Open Banking. By the end of this course, learners will be able to leverage data to drive customer-centric innovation, ensure compliance with regulatory standards, and effectively manage risks associated with data sharing. These skills will not only make learners more attractive to employers but also empower them to contribute significantly to the digital transformation of the banking industry.

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โ€ข Open Banking Introduction
โ€ข Data Management Fundamentals
โ€ข Open Banking Data Standards
โ€ข Data Security & Privacy in Open Banking
โ€ข API (Application Programming Interface) Development
โ€ข Open Banking Data Governance
โ€ข Data Analytics in Open Banking
โ€ข Open Banking Use Cases & Best Practices
โ€ข Regulatory Compliance in Open Banking

่Œไธš้“่ทฏ

In the UK's open banking sector, the demand for data-related roles is booming, with various job opportunities available for professionals with the right skill set. This 3D pie chart provides an overview of the most in-demand roles and their market share: 1. **Data Engineer (30%)** - Data engineers are responsible for building and maintaining data systems, pipelines, and architectures to ensure data is accessible and usable for data analysts and data scientists. 2. **Data Analyst (25%)** - Data analysts collect, process, and perform statistical analyses on data to provide actionable insights to help businesses make informed decisions. 3. **Data Scientist (20%)** - Data scientists apply machine learning techniques and advanced analytics to large datasets, enabling them to build predictive models and uncover hidden patterns or trends. 4. **DevOps Engineer (15%)** - DevOps engineers bridge the gap between software development and IT operations, integrating automation, tools, and processes to facilitate the rapid deployment and scaling of applications. 5. **Software Engineer (10%)** - Software engineers design, develop, and maintain software applications, focusing on open banking platforms and integrating APIs with financial services and third-party applications. By understanding the job market trends and the required skillsets, professionals can make informed decisions about their career paths in open banking and data management.

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PROFESSIONAL CERTIFICATE OPEN BANKING: DATA MANAGEMENT
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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