Learn data visualization with Python in just 4 hours by completing short interactive exercises. Topics covered include customizing graphics, plotting two-dimensional arrays (e.g., pseudocolor plots, contour plots, images, etc.), statistical graphics (e.g., visualizing distributions & regressions), and working with time series. | DataCamp

2026最新Python数据分析师教程：4周带你系统掌握数据获取、清洗、分析与建模全流程，附10 行业数据集，小白也能构建专业作品集。