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所在平台: Udemy |
课程主页: https://www.udemy.com/course/knime-for-data-science-and-data-cleaning/
课程评论：没有评论
这是一门关于使用KNIME进行数据科学和数据清洗的课程。 **课程核心内容：** * **数据准备与清洗的挑战：** 课程强调数据科学领域中，数据准备、数据清洗和预处理是最耗时且繁琐的工作。 * **KNIME的优势：** * **可视化操作：** KNIME 提供直观的拖放界面，无需编码即可完成数据准备，大大提高效率。 * **灵活性：** KNIME 允许用户选择是否使用 R、Python 或 Java 等语言进行编码，满足不同需求。 * **数据科学能力：** KNIME 支持机器学习和人工智能应用，无论是否编码。 * **免费使用：** KNIME 桌面版完全免费。 * **课程定位：** * 这是KNIME系列的第三门课程，在前两门课程（"KNIME - a crash course for beginners" 和 "Data science and Data preparation with KNIME"）的基础上进行拓展。 * **不包含基础知识：** 课程不讲解KNIME的基础知识（如界面、基本数据导入和过滤节点）。建议在学习本课程前，先完成基础课程。 * **关键学习点：** * **学习新的KNIME节点：** 掌握课程中未涵盖的、有用的KNIME节点。 * **解决数据清洗挑战：** 共同应对实际的数据清洗难题。 * **集成预训练模型：** 在KNIME中使用TensorFlow预训练模型（可能涉及Python编码，对无Python基础者有一定挑战）。 * **自然语言处理（NLP）：** 学习在KNIME中进行NLP任务的基础，主要使用KNIME自身节点，无需额外编码。 **课程适合人群：** * 希望提高数据准备和数据清洗效率的数据科学家和数据分析师。 * 对使用可视化工具进行数据科学感兴趣的用户。 * 希望学习KNIME高级功能和NLP应用的用户。 * 对Python有一定了解（或愿意学习）的用户，以便更好地处理部分示例。
Data science and Data cleaning and Data preparation with KNIMEHello everyone hope you are doing fine.Let's face it. Data preparation ,data cleaning, data preprocessing (whatever you want to call it) is most often the most tedious and time consuming work in the data science / data analysis area.So many people ask: How can we speed up the process and be more efficient?Well one option could be to use tools which allow us to speed up the process (and sometimes reduce the amount of code we need to write).Meet KNIMEA great tool which comes to our rescue. KNIME allows us to do data preparation / data cleaning in a very appealing drag and drop interface. (No coding experience is required yet it still allows us if we want to use languages like R, Python or Java. So, we can code if we want but don't have to!). The flexibility of KNIME makes that happen. WITH KNIME we can also do Data Science, so machine learning and AI with or without coding.And the best: The Desktop version is completely free!So, is it worth it to dive deeper into KNIME? ABSOLUTELY!This course is the third KNIME class and expands the knowledge you have acquired in the other classes "KNIME - a crash course for beginners" "Data science and Data preparation with KNIME"Please note: For some examples we use Python in combination with KNIME. So if you have no prior Python knowledge the section might be a bit harder for you. But if you follow along it is definitely worth it!We do not cover the basics (e.g. the interface, basic data import and filter nodes,...) here. If you need to refresh your knowlege or you have not had the chance to learn the basics I would highly recommend to check at least the crash course first (which covers all the basics in a great and funny case study!)In this class we extend our skills bylearning to use additional helpful KNIME nodes not covered in the other two classessolve data cleaning challenges togetheruse pretrained models in tensorflow in KNIME (involves Python coding)learn the fundametals for NLP tasks (Natural language processing) in KNIME using only KNIME nodes (without any additional coding)If that does not sound like fun, then what? So, if that is interesting to you then let's get started!Are you ready?
