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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-with-python-and-power-bi/
课程评论：没有评论
本课程“使用 Python 和 Power BI 进行数据可视化”旨在教授学员如何利用 Python 强大的数据科学库以及 Power BI 这一领先的商业智能软件来创建丰富的数据可视化图表。 **核心内容包括：** * **Python 数据可视化基础：** * 安装 Python 包并设置路径。 * 使用 Matplotlib 创建折线图，并为图表添加标签、创建散点图（包括虚线样式）。 * 深入学习 Seaborn 库，掌握小提琴图 (Violin Chart) 的绘制（包括进阶应用），以及 Stripplot、Boxplot、Lmplot (align plot) 等图表类型。这些图表能帮助用户直观地展示数据分布、识别异常值，并发现不同类别数据的模式，这是 Power BI 默认图表难以实现的。 * **Power BI 高级可视化与交互：** * 学习在 Power BI 中创建多种高级图表，如： * Ribbon Chart (丝带图) * Table and Matrix (表格和矩阵) * Drill Down Table and Matrix (钻取表格和矩阵) * Donut Ring chart (甜甜圈图) * Simple Map and modes (简单地图和模式) * 掌握 Power BI 的交互功能，包括： * Slicer - Basics (切片器基础) * Slicers - Date Slicer (日期切片器) **课程价值：** 本课程的技能适用于数据科学、数据分析、商业智能和机器学习等多个领域。通过结合 Python 的数据处理能力和 Power BI 的交互可视化功能，学员将能够更深刻地理解数据，发现隐藏的洞见，并有效地传达复杂的分析结果。
Python is one of the most popular and advanced programming language used in various domains such as machine learning and data science. Python helps you reduce the lines of code into as short as possible while keeping it in a readable format so that anyone can easily understand the implication of python code. In this course you will learn about some of the libraries in python and some methods used to create data visualization charts and data science projects. Here, you will learn about creating data visualization charts using python and Power BI business intelligence software. Power BI is an advanced software used for wide range of application areas such as Data Science, Machine Learning, Enterprise Resource Planning, Data Analysis and much more. And it makes the process of data cleaning, modelling and visualization very interactive and easy.Although we could create various kinds of charts in Power Bi even without writing a single line of code. But there are various complex problems in data science that can be solved with the help of python libraries such as matplotlib and seaborn. Here in this course you will learn to create some of the advanced charts in power bi by writing python programs to create data visualizations for driving insights and finding outliers that may not be done by using default charts, one such example could be Violin chart. By creating a Violin chart you could easily spot the distribution range or concentration of values based on a certain category. This chart would make it intuitive to spot any segregation of values, and uniformity of distribution. It would be very difficult to represent such insights using any other default charts. Moreover, you would be learning many of such advanced custom charts in power bi that can be created by writing python codes.The skills you learn in this course can be used in various domains related to data science and data analytics to business intelligence and machine learning.In this course, you will be learning following concepts and visualization charts using python libraries such as pandas, matplotlib and seaborn-Installing python packages and defining pathCreating a Line chart with matplotlibPutting labels and creating dashed scatterplotViolin chart with seabornMore on Violin chartStripplotBoxplotLmplot or align plotMoreover, you will also learn to create other visualization charts in power bi and other concepts such as creating slicer filters and map chart-Ribbon ChartTable and MatrixDrill Down Table and MatrixDonut Ring chartSimple Map and modesSlicer- BasicsSlicers- Date Slicer
