Code Free Data Science

所在平台: CourseraArchive

课程类别: 其他类别

大学或机构: CourseraNew

课程主页: https://www.coursera.org/archive/code-free-data-science

课程评论:没有评论

第一个写评论        关注课程

课程大纲

Welcome to the world of Big Data
Introduction to KNIME Analytics Platform
Data Manipulation and Vizualization
Machine Learning

课程评论(0条)

课程详情

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

无代码数据科学:无代码数据科学课程是为寻求在数据科学领域中获取或扩展其知识的学习者而设计的。参加者将获得有关有效的预测分析方法的基础培训,这些方法将随数据科学学科的发展而发展,而无需任何编程要求。机器学习方法将通过利用KNIME分析平台发现数据的模式和关系来提出。预测未来的趋势和行为可以进行主动的,数据驱动的决策。在课堂上,学习者将获得将预测算法应用于真实数据,评估,验证和解释结果的新技能,而无需任何类型的编程的前提条件。参与者将获得设计,构建,验证和测试预测模型的基本技能。 你将学习 •如何在不涉及任何编程的情况下设计数据科学工作流程 •基本的数据科学技能,以设计,构建,测试和评估预测模型 •数据处理,准备,分类和聚类方法 •将数据科学算法应用于真实数据以及评估和解释结果的方法

课程标签

0人关注该课程

主题相关的课程