Interactive Statistical Data Visualization 101

提供方
Coursera Project Network
在此指导项目中,您将:

Understand how to generate interactive statistical plots such as box plots, histograms, density map, scatter matrix, violin plot, and contour plots

Understand python programming fundamentals for interactive data visualization

Leverage the power of Plotly to generate interactive plots

Clock2 hours
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培养的技能

  • Data Analysis
  • Statistical Analysis
  • Probability
  • Data Visualization (DataViz)

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Plot Interactive Box Plots

  2. Plot Interactive Histogram

  3. Plot Interactive Histogram with Marginal Plots

  4. Plot Interactive Density Map

  5. Plot Interactive Scatter Matrix

  6. Plot Interactive Violin Plot

  7. Plot Interactive 2D Contour Plot

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

常见问题

常见问题

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