Plots (Graphics) for Data Science

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在此指導項目中,您將:

Learn data visualization techniques in Python.

Create and visualize scatter plots, line plots, bar charts, subplots, box plots, histograms, heatmaps, and animations.

Clock2 hours
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

In this two-hour long project-based course, you will learn Data Visualization techniques in Data Science. By the end of this project, you will have created and visualized scatter plots, line plots, bar charts, subplots, box plots, histograms, heat maps, and animations. This class is for learners who want to use Python for Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization project course. Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios.

您要培養的技能

Data ScienceData Visualization (DataViz)Plot (Graphics)

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  1. Understanding the importance of Data Visualization techniques

  2. Creating Scatter Plots and Line Plots

  3. Creating Bar Charts and Subplots

  4. Creating Box Plots and Histograms

  5. Creating Heat Maps and Animations

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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