Python Data Visualization

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

22nd May, 2023
Learners

No Information
Duration

No Information
Instructor

Scott Rixner and Joe Warren

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5.0

1,461 Ratings

This is the final course in the Python specialization, and it builds on the knowledge acquired in the previous courses. Python Data Visualization will teach you how to install external packages, acquire data from the web, clean, process, analyze, and visualize it. You will be able to write interesting, practical, and useful programs by the end of the course. With the skills you have learned, you will be able to locate, install, and use Python packages written by others, amplifying your effectiveness and writing useful programs.

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

What skills and knowledge will you acquire during this course?
This course will provide students with the skills and knowledge to install and use Python packages, acquire data from sources on the Web, clean, process, analyze, and visualize data. Students will also learn how to write interesting, practical, and useful programs. By the end of the course, students will be comfortable with installing Python packages, analyzing existing data, and generating visualizations of that data.

How does this course contribute to professional growth?
This course contributes to professional growth by providing the skills necessary to effectively utilize tools and packages that are widely available to amplify one's effectiveness and write useful programs. It teaches how to install external packages for use within Python, acquire data from sources on the Web, and then clean, process, analyze, and visualize that data. By the end of the course, learners will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This will enable them to write interesting, practical, and useful programs.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it provides a comprehensive overview of the Python programming language. It covers topics such as installing external packages, acquiring data from the web, cleaning, processing, analyzing, and visualizing data. Additionally, it teaches students how to effectively utilize tools and packages that are widely available to amplify their effectiveness and write useful programs. This course will provide students with the necessary skills and knowledge to be successful in further education.

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