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Introduction to Analytics Engineering

سرفصل های دوره

Analytics engineering is a relatively new role in the field of data. If you are looking to begin a career as an analytics engineer or hire for an analytics engineering position in your company, this course can give you the information you need to get started. Instructor and analytics engineer Amataverna Lee guides you through what analytics engineering is, why it matters, and which roles can transition most easily into analytics engineering. She explains data modeling, cloud data warehouses, data pipeline tools, and business intelligence tools. Amataverna goes over several software engineering best practices. Plus, she shows you how documentation and communication are important in analytics engineering roles.


01 - Introduction
  • 01 - What is analytics engineering
  • 02 - Prerequisites for the course

  • 02 - 1. Why Analytics Engineering
  • 01 - How the field of data has changed in the last couple of years
  • 02 - How did analytics engineering come to be
  • 03 - Where do analytics engineers come from
  • 04 - What skills are needed for analytics engineering

  • 03 - 2. Data Modeling
  • 01 - What is data modeling
  • 02 - Cloud data warehouses Snowflake
  • 03 - Data pipeline tools DBT
  • 04 - Business intelligence (BI) tools Looker
  • 05 - Challenge Build a simple data model
  • 06 - Solution Build a simple data model

  • 04 - 3. Software Engineering Best Practices
  • 01 - Using Git
  • 02 - Version control and testing
  • 03 - Challenge Add a pull request
  • 04 - Solution Add a pull request

  • 05 - 4. Documentation and Communication
  • 01 - Writing documentation
  • 02 - Communicating with the business team
  • 03 - Challenge Writing documentation
  • 04 - Solution Writing documentation

  • 06 - Conclusion
  • 01 - Wrap up and consider the analytics engineer role
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