• Classroom
  • Online, Instructor-Led

Learning Objectives

  • Demonstrate core Python scripting skills and language essentials, related to data science specifics
  • Leverage best practices for writing python code
  • Explore introductory level Python for analytics with Numpy and Pandas
  • Explore Python for Web and data base programming (optional)
  • Describe how to structure projects and use containers in a VM
  • Determine package dependencies
  • Explain versions in Python
  • Identify data movement, errors, expectations, and code optimization
  • Write a unit test using TDD; test the happy path and unhappy path
  • Apply Integration testing
  • Characterize how to pack and ship code into services and cloud, or container or VM
  • Deploy Python applications successfully
  • Use the Azure API to interact with Azure in Python
  • Employ Cloud best practices in working with Azure
  • Complete the course with a Capstone Project, leveraging the skills throughout the course to create, deliver and present (optional) a complete, tested solution from the ground up

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):