Mastering Data Visualization with Python
Visualize data using pandas, matplotlib and seaborn libraries for data analysis and data science
4.65 (298 reviews)
2,256
students
9.5 hours
content
Sep 2021
last update
$64.99
regular price
What you will learn
Understand which plots are suitable for different types of data, ensuring you select the most effective visualization method for your analysis.
Visualize data by creating various graphs using the pandas, matplotlib, and seaborn libraries, enhancing your ability to communicate data insights.
Master data visualization techniques to draw meaningful knowledge from your data, making informed decisions based on clear visual representations.
Learn to create time-series line plots, bar plots, pie plots, histograms, density or KDE plots, and box-whisker plots using the pandas package.
Explore matplotlib library to create time-series line plots, bar plots, pie plots, histograms, density or KDE plots, box-whisker plots, and scatter plots.
Master the seaborn library to create relational plots (scatter and line plots), distribution plots, and categorical plots (strip, swarm, box, violin, point etc)
Customize your plots by creating themes based on style, context, color palette, and font to enhance the visual appeal and clarity of your visualizations.
Enhance your resume with advanced data visualization skills using Python, making you a competitive candidate in data science and analytics fields.
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3798394
udemy ID
1/24/2021
course created date
2/27/2021
course indexed date
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