Data Engineer 101 Fundamentals
  • Type Learning
  • Level Foundational
  • Time Months
  • Cost N/A

Data Engineer 101 Fundamentals

Issued by Publicis Sapient

This intense learning program, totaling 60 learning hours, combines self-paced online content, assessments, exercises, and live sessions. The programme equips its participants with a solid grounding in theoretical models, coupled with foundational practical expertise in Data Engineering. Participants are expected to be able to demonstrate a baseline understanding and apply fundamental architecture diagrams, tool selection and design principles in this ever growing field.

  • Type Learning
  • Level Foundational
  • Time Months
  • Cost N/A

Skills

Earning Criteria

  • Content covered: Completed 16+ training modules across key topics at foundational level. Following a blended learning format of online theoretical learning modules with assessments, and participation in live sessions and practical application with Subject Matter Experts.
  • Assessments: Demonstrated know-how gained by passing a set of online tests for each milestone module within Fundamentals. Plus, solved a practical team use case exercise. Min. achievement score: 80%
  • Practical Use Case Exercise: Developed a practical use case solution in teamwork over the course of several weeks. Key deliverables: Architecture diagrams with descriptions, explanation of tools and technology options used, demo of solution design, core functionality code encouraged.