All Programs

Data Curriculum | Become a Data Scientist

Who should attend

  • All Bertelsmann employees who want to train as data scientists or deepen their knowledge
  • The data scientist deals with the preparation, processing and exploratory analysis of data. The primary goal of individuals in this role is to develop data products, e.g. in the form of machine learning models and dashboards, for business stakeholders in order to support decision-making and process automation and optimization
  • To do this, the data scientist models relationships, searches for patterns and anomalies, and uses tools and statistical or machine learning methods. A person in this role visualises the findings and makes them available to others, e.g. a data steward or a business partner
  • Prerequisites: A distinct technical-mathematical background with very good previous knowledge in the areas of statistics & machine learning, software development (e.g. R or Python) and data management (storage/database) technology or querying expertise

What you learn

To impart all the knowledge and skills necessary for the role of Data Scientist in the fields of:

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

How you learn

  • Learning path with a course programme especially 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 recognised 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: