Plots Creation using Matplotlib Python
$9.99
ENROLL NOWCourse Overview
What You'll Learn
- 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.
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 structures
Course FAQs
Is this an accredited online course?
Accreditation for 'Plots Creation using Matplotlib Python' is determined by the provider, Coursera Project Network. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
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How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Plots Creation using Matplotlib Python' on the Coursera Project Network online class platform, where you can complete your registration.
