Plots Creation using Matplotlib Python
By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis.
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- Level Foundation
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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Offered by
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By the end of this project, you will be able to add the data in the CSV file to Pandas data frame, plot the graph, and set marker type and color. You will also be able to apply labels, change font size, add grid lines and legends. Finally, you will be able to create the boxplot and save the graph as an image using the matplotlib and seaborn libraries, which are the most important libraries in python that are used for Data Visualization. You can create bar-plots, scatter-plots, histograms, and a lot more with them. This guided project is for people in the field of data and data analysis. people who want to learn python and Pandas library. It provides you with the important steps to be a data analyst. Moreover, it equips you with the knowledge of python's native data structuresالوحدات
Practical Application via Rhyme
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Plugin
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Lab
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Assignment
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Assignment
- Graded Quiz: Test your Project understanding draft
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Labs
- Plots Creation using Matplotlib Python.
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Readings
- Project-based Course Overview
Auto Summary
Unlock the power of data visualization with "Plots Creation using Matplotlib Python" on Coursera. Ideal for aspiring data analysts, this foundational course guides you through using Python's Matplotlib and Seaborn libraries to create various plots, including bar-plots, scatter-plots, and histograms. Led by expert instructors, you'll learn to manipulate data in Pandas, customize graphs, and save your visuals. Perfect for those in IT and Computer Science, this 120-minute guided project is available with a Starter subscription.
Omnya Khaled