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Data Curriculum | Become a Data Analyst

Who should attend

  • All Bertelsmann employees who wish to further their training as data analysts or deepen their knowledge
  • The data analyst prepares data, analyses it exploratively and prepares his or her findings visually in order to communicate them to business partners or stakeholders. A person in this role uses his or her special knowledge of visualization and storytelling for this purpose. This work is similar to that of a data scientist. However, it is a less technical and more tool-supported, SQL-based analysis of structured data sets
  • Requirements: Expert knowledge of relational and partially non-relational database systems, as well as excellent visual reporting skills to clearly identify data and business correlations

What you learn

To impart all the knowledge and skills necessary for the role of Data Analyst in the areas of:

  • Software Development (Python and/or R, SQL)
  • Data Management (Database Technology, Data, Machine, Big Data)
  • Data Visualisation (Information Design, Dashboarding, Visual Analytics)
  • Theoretical Basics (Statistics, Mathematics, Statistical & Machine Learning)

How you learn

  • Learning path with course programme specially designed for the role
  • Modern online learning experience from selected learning providers with high quality standards
  • From short learning nuggets for solving current problems, to Nanodegree 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



  • 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




Online Course Collection: