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GRATIS
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GRATIS

Finalize a Data Science Project

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  • Communicate Results to Stakeholders
    • In the previous courses in this specialization, you put your data through the extract, transform, and load (ETL) process, conducted an analysis of the data, and developed statistical models from the data that cover the three major disciplines of machine learning: classification, regression, and clustering. But you're not done yet. Now it's time to gather your results and present them to stakeholders. After all, you undertook the data science project to achieve business goals, so you need to demonstrate that you were actually successful in doing so. In this first module, you'll report your findings to the project's stakeholders.
  • Demonstrate Models in a Web App
    • One way to create a robust and interesting presentation is to show off your results in a web app. In this module, you'll focus on some of the major technologies that go into creating a web app that you might want to use in a demonstration.
  • Implement and Test Production Pipelines
    • Much of what you've done throughout the data science project can be automated in some way. The goal is to spend less time performing some of the more repetitive tasks, and more time on tasks that require your own judgment. This is where pipeline automation comes into play.
  • Apply What You've Learned
    • You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.