Data Analysis on Datasets, Seaborn and Matplotlib Plots

Data Analysis on Datasets, Seaborn and Matplotlib Plots

Explore data analysis techniques using Seaborn and Matplotlib in this comprehensive 6-hour English tutorial series. Learn to analyze various datasets including Google Apps ratings, tips, penguins, diamonds, and flights. Master creating diverse plots such as scatterplots, regplots, lineplots, barplots, catplots, swarmplots, violinplots, boxplots, stripplots, jointplots, pointplots, pairplots, boxenplots, residplots, lmplots, histplots, and heatmaps. Dive into Matplotlib library specifics, covering bar plots, horizontal bar plots, categorical variable plotting, grouped bar charts, stackplots, histograms, pie charts, and box plots with different colors. Gain practical experience in exploratory data analysis and develop essential skills for data science through hands-on exercises and real-world datasets.