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Visualization with Matplotlib and Seaborn | Data Analysis with Python (5/6) | Free Certification
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Time Breaks
00:00 Introduction
2:17 Data Visualization with Matplotlib and Seaborn
4:42 Line Charts
13:33 Matplotlib markers
19:33 Improving Default Styles with Seaborn
25:06 Scatter Plots
36:36 Histogram
47:27 Bar Chart
58:52 Heatmap
1:06:01 Displaying Images with Matplotlib
1:12:42 Plotting multiple charts in a grid
1:25:01 References and further reading
1:29:39 Course Project - Exploratory Data Analysis
2:00:02 What to do next?
2:01:00 Jovian Data Science Mentorship Program
Links to resources used in this lecture
Topics covered
⌨️ Creating line & bar charts using Matplotlib
⌨️ Using Seaborn to create beautiful visualizations
⌨️ Data visualization cheatsheet for 10 common graphs
⌨️ Exploratory data analysis & course project overview
Data Analysis with Python: Zero to Pandas, a self-based course offered by Jovian and is a practical, beginner-friendly, and coding-focused introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization and Exploratory Data Analysis for beginners. All projects and assignments as part of this course can be executed on interactive Jupyter notebooks running on the cloud.
This course is taught by Aakash N S, co-founder & CEO of Jovian - a platform for sharing, showcasing and collaborating on data science projects online
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