Our Courses

Healthcare Data Quality and Governance

Healthcare Data Quality and Governance

Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes.

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  • 12 hours
  • English
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DataOps Methodology

DataOps Methodology

DataOps is defined by Gartner as "a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and consumers across an organization. Much like DevOps, DataOps is not a rigid dogma, but a principles-based practice influencing how data can be provided and updated to meet the need of the organization’s data consumers.” The DataOps Methodology is designed to enable an organization to utilize a repeatable process to build and deploy analytics and data pipelines.

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  • 10 hours
  • English
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AWS: Security in Data Analytics

AWS: Security in Data Analytics

AWS: Security in Data Analytics Course is the fourth course of AWS Certified Data Analytics Speciality Specialization. This course teaches learners the concepts of Security in Data Analytics with reference to AWS. Learners will be able to analyze appropriate authentication and authorization mechanisms, apply data protection and encryption techniques and data governance and compliance controls in this course. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures.

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  • 6 hours
  • English
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SQL für Data Science

SQL für Data Science

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time.

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  • German
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SQL for Data Science

SQL for Data Science

As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically, and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). According to Glassdoor, being a data scientist is the best job in America; with a median base salary of $110,000 and thousands of job openings at a time.

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  • 14 hours
  • English
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  • AED 171 + VAT
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Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

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  • 71 hours
  • English
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  • AED 239.99 + VAT
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