|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-pre-processing-and-visualizing-in-knime/
课程评论：没有评论
课程名称：从Excel到Python Knime：预处理和可视化数据 课程概述：本课程将集中于机器学习过程中最耗时的部分——数据探索，包括数据可视化和数据清洗，以便于准备和理解数据。课程中包含多种数据操作和可视化的实践练习，涵盖三个流行的数据科学平台：1. 开源且前瞻性的编程语言Python 2. 开源、高度直观且有效的分析平台KNIME 3. 最受数据工作者欢迎的MS Excel。在这里，我们将学习如何加载数据、转换数据和可视化数据。 课程内容包括： - KNIME分析平台的安装与环境描述 - Python的安装与环境描述 - 将数据汇集到各个平台（来自Excel和CSV的数据） - 数据操作（准备与转换）I：表格、行转换、行过滤和拆分 - 数据操作（准备与转换）II：列分箱、列转换和替换、列过滤、列拆分、列转换 - 数据操作（准备与转换）III：其他数据类型（日期和时间） - 数据操作：特征缩放 - 数据可视化：直方图、折线图、饼图、散点图、箱型图 本课程通过实践操作帮助学员掌握数据处理和可视化的技能，为进入数据科学领域奠定坚实基础。
We will focus on the most time-consuming part of the machine learning process which is the data exploration consisting from data visualisation and data wrangling serving for preparing and understanding your data. The whole course is full of different data manipulation and visualisation hands-on exercises in three popular data science platforms:1. open-source and very progressive programming language Python2. open-source, highly intuitive and effective analytics platform KNIME3. the most popular for people working with data MS Excel, where we we will load data, transform them and visualise them. So, what will we cover during this course?Start with the KNIME analytics platform (installation and environment description)Start with Python (installation and environment description)Gathering the data into all platforms (data from Excel and csv)Data manipulation (preparation and transformation) I - Table, Row transform, Row filter and split Data manipulation (preparation and transformation) II - Column Binning, Column Convert and replace, Column Filter, Column Split, Column Transform, Data manipulation (preparation and transformation) III - Other data types - date and time.Data manipulation - Feature scalingData visualisation - Histogram, Line plot, Pie chart, Scatter plot, Box plot
