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Data Curriculum | Become a Business Analyst

Data Curriculum - The Business Analyst

Who should attend

  • All Bertelsmann employees who want to further their education as business analysts, or deepen their knowledge
  • As a rule, business analysts are not proven technology experts, but serve as the interface between business stakeholders and the more technically-orientated roles of data analyst, data engineer and data scientist. In this context, they help to identify and formulate business-relevant use cases. This can be the improvement of existing data products, or the development of new ones. In addition to their domain expertise, which is underpinned by business management, their special skills are, above all, communication skills and creativity
  • Prerequisites: Distinct business know-how with application expertise in the area of business intelligence or data visualization tools and basic knowledge in the area of data management or data analysis

What you learn

To impart all the knowledge and skills necessary for the role of business analyst in the areas of:

  • Formulation of business-relevant use cases
  • Software Development for Beginners (SQL)
  • Data Management for beginners and participants with previous knowledge (Database Technology, Big Data)
  • Advanced Data Visualisation (Information Design, Dashboarding, Visual Analytics)
  • Theoretical basics for beginners (Statistics, Mathematics)

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 Nanodegrees and recognized university certificates
  • 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:

Udacity:

reportingimpulse:

Online Course Collection: