DevOps for Data Scientists: Data Science DevOps

DevOps    |    Intermediate
  • 16 videos | 1h 12m 26s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 20 users Rating 4.7 of 20 users (20)
In this 16-video course, learners discover the steps involved in applying DevOps to data science, including integration, packings, deployment, monitoring, and logging. You will begin by learning how to install a Cookiecutter project for data science, then look at its structure, and discover how to modify a Cookiecutter project to train and test a model. Examine the steps in the data model lifecycle and the benefits of version control for data science. Explore the tools and approaches to continuous integration for data models, to data and model security for Data DevOps, and the approaches to automated model testing for Data DevOps. Learn about the Data DevOps considerations for data science tools and IDEs (integrated developer environment) and the approaches to monitoring data models and logging for data models. You will examine ways to measure model performance in production and look at data integration with Cookiecutter. Then learn how to implement a data integration task with both Jenkins and Travis CI (continuous integration). The concluding exercise involves implementing a Cookiecutter project.

WHAT YOU WILL LEARN

  • Discover the subject areas covered in this course
    Examine a cookiecutter project structure
    Modify a cookiecutter project to train and test a model
    Describe the steps in the data model life cycle
    Describe the benefits of version control for data science
    Describe tools and approaches to continuous integration for data models
    Describe approaches to data and model security for data devops
    Describe approaches to automated model testing for data devops
  • Identify data devops considerations for data science tools and ides
    Identify approaches to monitoring data models
    Describe approaches to logging for data models
    Identify ways to measure model performance in production
    Add directives to the make file to prepare for continuous integration
    Implement a data integration task with jenkins
    Implement data integration with travis ci
    Incorporate a model into a cookiecutter project

IN THIS COURSE

  • 1m 22s
  • 7m 36s
    Find out how to examine a cookie cutter project structure. FREE ACCESS
  • Locked
    3.  Using a Cookiecutter Project
    6m 47s
    In this video, you will modify a Cookiecutter project to train and test a machine learning model. FREE ACCESS
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    4.  Data Model Life Cycle
    5m 4s
    Upon completion of this video, you will be able to describe the steps in the data model life cycle. FREE ACCESS
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    5.  Version Control in Data Science
    3m 56s
    After completing this video, you will be able to describe the benefits of version control for data science. FREE ACCESS
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    6.  Data Model Continuous Integration
    3m 47s
    Upon completion of this video, you will be able to describe tools and approaches for continuous integration of data models. FREE ACCESS
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    7.  Data and Model Security
    5m 3s
    Upon completion of this video, you will be able to describe approaches to data and model security for Data DevOps. FREE ACCESS
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    8.  Automated Model Testing
    4m 10s
    Upon completion of this video, you will be able to describe approaches to automated model testing for Data DevOps. FREE ACCESS
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    9.  Data Tools in DevOps
    4m 46s
    In this video, find out how to identify Data DevOps considerations for data science tools and IDEs. FREE ACCESS
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    10.  Monitoring Data Models
    3m 4s
    In this video, you will identify approaches for monitoring data models. FREE ACCESS
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    11.  Logging for Data Models
    2m 49s
    Upon completion of this video, you will be able to describe approaches to logging data models. FREE ACCESS
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    12.  Model Performance Measures
    4m 33s
    Learn how to identify ways to measure model performance in production. FREE ACCESS
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    13.  Data Integration with Cookiecutter
    5m 22s
    During this video, you will learn how to add directives to the makefile to prepare for continuous integration. FREE ACCESS
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    14.  Data Integration with Jenkins
    4m 46s
    In this video, you will learn how to implement a data integration task with Jenkins. FREE ACCESS
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    15.  Data Integration with Travis CI
    4m 24s
    In this video, you will learn how to implement data integration using Travis CI. FREE ACCESS
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    16.  Exercise: Implement a Cookiecutter Project
    4m 59s
    In this video, you will learn how to incorporate a model into a Cookiecutter project. FREE ACCESS

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