|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualizaion-using-matplotlib-plotly-python-library/
课程评论：没有评论
Coursera课程总结：使用 Python 库 Matplotlib 和 Plotly 进行数据可视化 本课程为期深入探讨了使用 Python 库 Matplotlib 和 Plotly 进行数据可视化的重要性、类型和实践。数据可视化是处理数据图形表示的关键工具，在决策制定、广告、数据分析、机器学习和数据科学等领域是有效的沟通方式。 **课程亮点：** * **全面性：** 涵盖二维和三维图表。 * **易学性：** 语言通俗易懂，无需编程背景即可学习。 * **实践性：** 所有主题均通过实践操作讲解，提供视频演示，方便学员模仿。 * **适用性：** 适合商业和管理领域的人士。 **Matplotlib 涵盖主题：** 1. 数据可视化的重要性 2. 数据可视化的类型 3. Matplotlib 库概念 4. 折线图 5. 直方图 6. 条形图 7. 散点图 8. 饼图 9. 箱线图 10. 面积图 11. 小提琴图 **Plotly 涵盖主题：** * Plotly 环境搭建 * 折线图（二维和三维） * 直方图 * 条形图 * 散点图 * 饼图 * 箱线图 * 面积图 * 小提琴图 完成本课程后，学员将能够轻松设计各种类型的图表。
Currently, Data Visualizations is a very important tool that deals with the graphical representation of the data. It is a very effective way of communication in decision making, advertisement, data analysis, Machine Learning and Data Science. And some of the python libraries like matplotlib and plotly are very popular for data visualization. Also, it is very important to get the knowledge that, what kind of graphs or charts we use to represent the data. After completing this course, you can able to design different types of graphs and charts very easily.Important Feature of this course is as follows:Here we cover 2D as well as 3D Graphs and Charts.This course can be done by Business and Managements people alsoEvery topic is covered practically.Explained in very easy language.Non-Programming background can also understand easily.Each Graph and Chart is demonstrated in a simple way so that you can do the same by watching videos.Topics Covered in Matplotlib:1. Importance of Data Visualization2. Type of Data Visualization3. Concepts of matplotlib Library4. Line Plotting5. Histogram6. Bar Plot7. Scatter Plot8. Pie Chart9. Box Plot10. Area Chart11. Violene ChartTopics Covered in Plotly:Setup the environment for plotlyLine Plotting (2D and 3D)HistogramBar PlotScatter PlotPie ChartBox PlotArea ChartViolene Chart
