Data Science Tools

Data Science    |    Beginner
  • 13 videos | 47m 15s
  • Includes Assessment
  • Earns a Badge
Rating 4.2 of 363 users Rating 4.2 of 363 users (363)
Explore a variety of new data science tools available today; the different uses for these tools; and the benefits and challenges in deploying them in this 12-video course. First, examine a data science platform, the nucleus of technologies used to perform data science tasks. You will then explore the analysis process to inspect, clean, transform, and model data. Next, the course surveys integrating and exploring data, coding, and building models using that data, deploying the models to production, and delivering results through applications or by generating reports. You will see how a great data science platform should be flexible and scalable, and it should combine multiple features and capabilities that effectively centralize data science efforts. You will learn the six sequential steps of a typical data science workflow, from defining the objective for the project to reporting the results. Finally, explore DevOps, resources that allow developers and IT to work together in harmony which includes people, processes, and infrastructure; and its typical functionalities including integration, testing, packaging, as well as deployment.

WHAT YOU WILL LEARN

  • Describe what a data science platform is
    Describe the challenges of deploying data science tools
    Identify some considerations for data science tools
    Identify and describe each step of a data science workflow
    Describe different uses for data science analytic tools
    Describe different uses for data science visualization tools
  • Describe different uses for data science database tools
    List the benefits of deploying cloud-based tools
    List the challenges of deploying cloud-based tools
    Describe what devops is and some of the common functionalities
    Describe devops for data science
    Identify different uses of data science tools

IN THIS COURSE

  • 1m 26s
  • 4m 10s
    After watching this video, you will be able to describe what a data science platform is. FREE ACCESS
  • Locked
    3.  Challenges of Deploying Data Science Tools
    3m 41s
    After completing this video, you will be able to describe the challenges of deploying data science tools. FREE ACCESS
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    4.  Considerations for Data Science Tools
    4m 58s
    During this video, you will learn how to identify some considerations for data science tools. FREE ACCESS
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    5.  Data Science Workflow
    5m 28s
    Learn how to identify and describe each step of a data science workflow. FREE ACCESS
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    6.  Data Science Analytic Tools
    3m 21s
    Upon completion of this video, you will be able to describe different uses for data science analytic tools. FREE ACCESS
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    7.  Data Science Visualization Tools
    2m 28s
    After completing this video, you will be able to describe different uses for data science visualization tools. FREE ACCESS
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    8.  Data Science Database Tools
    2m 53s
    After completing this video, you will be able to describe different uses for data science database tools. FREE ACCESS
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    9.  Benefits of Deploying Cloud-Based Tools
    3m 40s
    Upon completion of this video, you will be able to list the benefits of deploying cloud-based tools. FREE ACCESS
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    10.  Challenges of Deploying Cloud-Based Tools
    3m 20s
    Upon completion of this video, you will be able to list the challenges of deploying cloud-based tools. FREE ACCESS
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    11.  What is DevOps
    2m 21s
    After completing this video, you will be able to describe what DevOps is and some of the common features. FREE ACCESS
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    12.  DevOps for Data Science
    3m 33s
    Upon completion of this video, you will be able to describe DevOps for data science. FREE ACCESS
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    13.  Exercise: Identifying Uses of Data Science Tools
    5m 56s
    Learn how to identify different uses for data science tools. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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Digital badges are yours to keep, forever.

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