Data Visualization Made Easy with Seaborn and Python

用Seaborn轻松实现Python数据可视化

2025年10月最新发布，适合初学者的Python数据可视化课程。学习使用Seaborn和Matplotlib将原始数据转化为有故事性的专业图表，涵盖统计关系、时间序列与分布可视化等内容。

Published 10/2025
Created by James Clare
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 3h 33m) | Size: 1.88 GB

Master Seaborn and Matplotlib to turn raw data into powerful, story-driven visual insights.

What you’ll learn
Set up a Python virtual environment and install the libraries needed for Seaborn data visualization.
Learn how Seaborn and Matplotlib work to create, display, and save professional-quality visualizations.
Use real-world datasets to build a range of clear, insightful, and visually appealing charts.
How to plot categorical data with bar plots, box plots & point plots.
Plot univariate and multivariate time series.
How to visualise distributions with uni & bivariate histograms, violin plots and KDE plots.
Show statistical relationships with scatter plots, heat maps, facet grids and joint plots.
How to show linear models, regression plots and residual plots.

Requirements
A basic understanding of Python would be beneficial!