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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/code-free-data-science
课程评论：没有评论
课程名称：无代码数据科学 课程概述： 无代码数据科学课程旨在帮助学习者获取或扩展数据科学领域的知识。学员将接受有效的预测分析方法的基础培训，而无需编程要求。课程采用KNIME分析平台介绍机器学习方法，以发现数据中的模式和关系。通过预测未来趋势和行为，学员能够做出主动的、数据驱动的决策。在课程过程中，学习者将掌握将预测算法应用于真实数据、评估、验证和解读结果的新技能，无需任何编程前提。参与者将获得设计、构建、验证和测试预测模型的基本技能。 您将学习： - 如何在不涉及任何编程的情况下设计数据科学工作流 - 设计、构建、测试和评估预测模型的基本数据科学技能 - 数据操作、准备以及分类和聚类方法 - 如何将数据科学算法应用于真实数据，并评估和解读结果 课程大纲： 1. **欢迎来到大数据的世界** 描述：本模块将深入探讨大数据热潮及其技术机遇与挑战，提供对大数据分析及其与数据科学方法关联的深入理解。 2. **KNIME分析平台简介** 描述：本模块将介绍KNIME分析平台，指导学习者下载、安装和设置KNIME。我们将探索并熟悉KNIME工作流编辑器及其组件，创建第一个基本工作流，并探索KNIME赋予用户的各种分析能力。 3. **数据操作与可视化** 描述：即将提供具体内容。 4. **机器学习** 描述：即将提供具体内容。 通过这个课程，您将能够在没有编程背景的情况下，掌握数据科学的核心技能，为数据分析和决策提供强有力的支持。
Name:Welcome to the world of Big Data
Description:Welcome to the first module of the Code Free Data Science course. This first module will provide insight into Big Data Hype, its technologies opportunities and challenges. We will take a deeper look into the Big Data Analytics and methodology associated with Data Science approaches.
Name:Introduction to KNIME Analytics Platform
Description:This module will introduce the KNIME analytics platform. Learners will be guided to download, install and setup KNIME. We will explore and become familiar with the KNIME workflow editor and its components. In this module we will create the very first basic workflow, and explore the kinds of analysis KNIME empowers users to perform.
Name:Data Manipulation and Visualization
Description:
Name:Machine Learning
Description:
The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models. You Will Learn • How to design Data Science workflows without any programming involved • Essential Data Science skills to design, build, test and evaluate predictive models • Data Manipulation, preparation and Classification and clustering methods • Ways to apply Data Science algorithms to real data and evaluate and interpret the results
