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Data Curriculum | Become a Data Steward

Data Curriculum - The Data Steward

Who should attend

  • All Bertelsmann employees who wish to further their training as a data steward or deepen their knowledge
  • The data steward deals with the semantics of the master and transaction data for which he/she is responsible. This includes the underlying data model and its quality, as well as aspects of data consistency and completeness, etc. A person in this role acts as an important contact for data engineers and data scientists in questions of data quality and data integration
  • Requirements: Distinct domain knowledge, e.g. in the ERP or CRM context and advanced expertise in the area of classical data management, whereby the data steward is also familiar with big data and cloud environments and has a basic understanding of modern analysis methods

What you learn

To impart all the knowledge and skills necessary for the role of data steward in the areas of:

  • Big Data
  • Machine Learning Engineering
  • Statistical & Machine Learning
  • Database Technology

How you learn

  • Learning path with a course programme specially designed for the roll
  • Modern online learning experience from selected learning providers with high quality standards
  • From short learning nuggets for solving current problems to Nanodegree degree and recognized university certificate
  • Self-directed learning according to individual abilities, needs - at one's own pace, independent of time and place
  • Interactive learning formats with learning controls to check your own learning progress

Benefits

Participants:

  • Acquire the competencies and skills necessary for working in the field of data science
  • Can develop in their current role, or qualify for a new role
  • Benefit from a selected, well-structured and quality-checked digital learning curriculum
  • Learn from experts with a high practical relevance
  • Exchange information on challenges and best practices in communities
  • Can apply the learning content directly in their everyday professional life
  • Can continue their education according to their individual knowledge, independent of time and place
  • Have the opportunity to develop further by completing a certificate or university degree

Further details

Coursera:

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Online Course Collection: