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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/finalize-a-data-science-project
课程评论：没有评论
课程名称：数据科学项目的最终完善 概述：本课程专为希望学习如何从数据科学项目的各个阶段收集结果并向利益相关者展示这些结果的商业专业人士设计。学习者将学习如何向利益相关者传达模型的结果，构建基本的网页应用程序以展示机器学习模型，并实施和测试自动化模型训练、调优和部署流程的管道。 学员背景：典型的课程学员通常已完成CDSP专业证书项目的先修课程，并拥有数年计算技术的经验，包括一定程度的计算机编程能力。 课程大纲： - 第一部分：向利益相关者传达结果 - 描述：在之前的课程中，您经过提取、转换和加载（ETL）过程，对数据进行了分析，并建立了涵盖机器学习三个主要领域（分类、回归和聚类）的统计模型。现在是时候收集您的结果并将其呈现给利益相关者，以证明您在实现商业目标上的成功。 - 第二部分：在网页应用程序中演示模型 - 描述：通过在网页应用中展示结果，可以创造一个强大而有趣的演示。在这一模块中，您将专注于创建网页应用所需的一些主要技术，以便在演示中使用。 - 第三部分：实施和测试生产管道 - 描述：数据科学项目中许多任务可以以某种方式实现自动化。目标是减少重复性任务的时间，更多地关注需要您判断的任务。这就是管道自动化发挥作用的地方。 - 第四部分：应用所学知识 - 描述：您将参与一个项目，将本课程中学到的知识应用于实际场景中。
Part: 1
Title:Communicate Results to Stakeholders
Description: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.
Part: 2
Title:Demonstrate Models in a Web App
Description: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.
Part: 3
Title:Implement and Test Production Pipelines
Description: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.
Part: 4
Title:Apply What You've Learned
Description:You'll work on a project in which you'll apply your knowledge of the material in this course to practical scenarios.
This course is designed for business professionals that want to learn how to gather results from previous stages of the data science project and present them to stakeholders. Learners will communicate the results of a model to stakeholders, be shown how to build a basic web app to demonstrate machine learning models and implement and test pipelines that automate the model training, tuning and deployment processes. The typical student in this course will have completed previous courses in the CDSP professional certificate program, and have several years of experience with computing technology, including some aptitude in computer programming.
