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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-mining-fundamentals-for-beginners/
课程评论：没有评论
**课程名称：** 数据挖掘入门基础 (Data Mining Fundamentals For Beginners) **课程概述：** 本课程旨在帮助零基础学员成为合格的数据工程师。课程聚焦于数据挖掘在数据科学中的核心作用，包括实时数据收集与分析，以及设计和构建能够将数据转化为可用格式的数据处理管道 (pipelines)。尽管听起来简单，但数据工程需要大量的技能、时间和努力，并且许多人对数据工程的概念仍感到模糊，导致了巨大的技能差距。 本课程旨在清晰阐述数据工程的概念，帮助学员成为数据工程专家。课程将深入讲解数据工程的底层概念、工具和技术。 **学习数据挖掘的原因：** * **侧重于数据实施和利用：** 强调如何在实际中收集和应用数据。 * **构建数据处理管道：** 学习设计和构建能够将原始数据转化为有用信息的处理流程。 * **维护数据一致性：** 掌握确保数据统一性的方法。 * **管理和优化数据流：** 能够设计、管理和优化数据库中的数据流。 * **数据库导向的职业：** 课程内容与数据库相关的工作紧密结合。 **学习本课程的优势：** 数据工程是数据科学领域中最容易被误解的部分之一，许多人会将数据科学家与数据工程师混淆。然而，两者扮演着不同的角色和承担不同的职责。数据工程师更侧重于数据库和数据收集，而非高级数据分析或实验设计。 本课程完全致力于数据工程相关的概念，通过实践项目帮助学员全面理解和掌握。 **课程学习内容：** * **数据挖掘及其工具：** 介绍数据挖掘的基本概念和常用工具。 * **使用数据工程中的各种软件：** 学习操作数据工程所需的各类软件。 * **利用 R、Python 和 RapidMiner 进行数据降维。** * **利用 R、Python 和 RapidMiner 进行分类。** * **利用 R、Python 和 RapidMiner 进行聚类。** * **利用 R、Python 和 RapidMiner 进行异常检测。** * **利用 R、Python 和 RapidMiner 进行关联分析。** * **利用 R、Python 和 RapidMiner 进行回归分析。** * **利用 R、Python 和 RapidMiner 进行文本挖掘。** * **利用 R、Python 和 RapidMiner 进行序列挖掘。** * **真实场景数据实施所需的项目。** 通过本在线课程，您将从零开始，全面理解数据工程的底层概念！
Become a complete Data Engineer from scratch!!Data mining is one of the key elements of data science that focuses on real-time implementation of data collection & analysis. It is important for designing & building pipelines that help in transforming & transporting data into a usable format.This may sound simple, but it requires a lot more skills, time & hard work. And still, for many, the idea of data engineering remains fuzzy that has significantly contributed to the huge skill gaps.In order to make the concept of data engineering clear & to help individuals become an expert data engineer, we have curated this course. This Online Data Engineering Course will help you to master all the underlying concepts, tools & technologies of data engineering.Why you should learn Data Mining?Focuses more on the implementation & harvesting of data.Designing and building pipelines that can transform data into a usable form.Helps in maintain data uniformity.You will be able to design, manage & optimize the data flow with databases.Database oriented job.Why you should take this course?Data engineering is one of the most misunderstood parts of data science. Moreover, data scientists are often confused with data engineers. However, both have separate roles & responsibilities. Data engineers are more oriented towards database & data harvesting, contrary to advanced data analysis or experimental designs.In order to help you become a data engineer, we have curated this exclusive course that will be entirely dedicated to all the concepts involved in data engineering. This course also includes projects that will help you with a comprehensive understanding.What You Will Learn?Data mining & its toolsUsing various software involved in Data EngineeringData reduction with R, Python & RapidMinerClassification with R, Python & RapidMinerClustering with R, Python & RapidMinerAnomaly detection with R, Python & RapidMinerAssociation analysis with R, Python & RapidMinerRegression analysis with R, Python & RapidMinerText mining with R, Python & RapidMinerSequence mining with R, Python & RapidMinerData reduction with R, Python & RapidMinerProjects for real-time implementationBegin with this online course to understand all the underlying concepts of data engineering from scratch!!
